Upload 12 files
Browse files- config.json +1 -0
- model.safetensors +1 -1
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +21 -3
- tokenizer.json +16 -2
- trainer_state.json +3141 -0
- training_args.bin +3 -0
config.json
CHANGED
@@ -27,6 +27,7 @@
|
|
27 |
"num_hidden_layers": 12,
|
28 |
"pad_token_id": 0,
|
29 |
"position_embedding_type": "absolute",
|
|
|
30 |
"torch_dtype": "float32",
|
31 |
"transformers_version": "4.37.2",
|
32 |
"type_vocab_size": 2,
|
|
|
27 |
"num_hidden_layers": 12,
|
28 |
"pad_token_id": 0,
|
29 |
"position_embedding_type": "absolute",
|
30 |
+
"problem_type": "single_label_classification",
|
31 |
"torch_dtype": "float32",
|
32 |
"transformers_version": "4.37.2",
|
33 |
"type_vocab_size": 2,
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 437961724
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3029633edda1e7c958a7a98a95df28eebc4700a7aada1736a5fcbce95f350f74
|
3 |
size 437961724
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:463878b7a315533895202600e43838bfdd00a9594cbe4fa1389833d9b1cee09a
|
3 |
+
size 876044538
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:59614382a5848cd194b6135dba711609088a9a1719669badea77f8e779f27f2c
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:80b6323e3afe4eb24b96b5717a14f206b672405c6c570ae57429c71de8d10624
|
3 |
+
size 1064
|
special_tokens_map.json
CHANGED
@@ -101,7 +101,13 @@
|
|
101 |
"<extra_id_98>",
|
102 |
"<extra_id_99>"
|
103 |
],
|
104 |
-
"cls_token":
|
|
|
|
|
|
|
|
|
|
|
|
|
105 |
"eos_token": {
|
106 |
"content": "</s>",
|
107 |
"lstrip": false,
|
@@ -109,7 +115,13 @@
|
|
109 |
"rstrip": false,
|
110 |
"single_word": false
|
111 |
},
|
112 |
-
"mask_token":
|
|
|
|
|
|
|
|
|
|
|
|
|
113 |
"pad_token": {
|
114 |
"content": "<pad>",
|
115 |
"lstrip": false,
|
@@ -117,7 +129,13 @@
|
|
117 |
"rstrip": false,
|
118 |
"single_word": false
|
119 |
},
|
120 |
-
"sep_token":
|
|
|
|
|
|
|
|
|
|
|
|
|
121 |
"unk_token": {
|
122 |
"content": "<unk>",
|
123 |
"lstrip": false,
|
|
|
101 |
"<extra_id_98>",
|
102 |
"<extra_id_99>"
|
103 |
],
|
104 |
+
"cls_token": {
|
105 |
+
"content": "[CLS]",
|
106 |
+
"lstrip": false,
|
107 |
+
"normalized": false,
|
108 |
+
"rstrip": false,
|
109 |
+
"single_word": false
|
110 |
+
},
|
111 |
"eos_token": {
|
112 |
"content": "</s>",
|
113 |
"lstrip": false,
|
|
|
115 |
"rstrip": false,
|
116 |
"single_word": false
|
117 |
},
|
118 |
+
"mask_token": {
|
119 |
+
"content": "[MASK]",
|
120 |
+
"lstrip": false,
|
121 |
+
"normalized": false,
|
122 |
+
"rstrip": false,
|
123 |
+
"single_word": false
|
124 |
+
},
|
125 |
"pad_token": {
|
126 |
"content": "<pad>",
|
127 |
"lstrip": false,
|
|
|
129 |
"rstrip": false,
|
130 |
"single_word": false
|
131 |
},
|
132 |
+
"sep_token": {
|
133 |
+
"content": "[SEP]",
|
134 |
+
"lstrip": false,
|
135 |
+
"normalized": false,
|
136 |
+
"rstrip": false,
|
137 |
+
"single_word": false
|
138 |
+
},
|
139 |
"unk_token": {
|
140 |
"content": "<unk>",
|
141 |
"lstrip": false,
|
tokenizer.json
CHANGED
@@ -1,7 +1,21 @@
|
|
1 |
{
|
2 |
"version": "1.0",
|
3 |
-
"truncation":
|
4 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
5 |
"added_tokens": [
|
6 |
{
|
7 |
"id": 0,
|
|
|
1 |
{
|
2 |
"version": "1.0",
|
3 |
+
"truncation": {
|
4 |
+
"direction": "Right",
|
5 |
+
"max_length": 512,
|
6 |
+
"strategy": "LongestFirst",
|
7 |
+
"stride": 0
|
8 |
+
},
|
9 |
+
"padding": {
|
10 |
+
"strategy": {
|
11 |
+
"Fixed": 512
|
12 |
+
},
|
13 |
+
"direction": "Right",
|
14 |
+
"pad_to_multiple_of": null,
|
15 |
+
"pad_id": 30534,
|
16 |
+
"pad_type_id": 0,
|
17 |
+
"pad_token": "<pad>"
|
18 |
+
},
|
19 |
"added_tokens": [
|
20 |
{
|
21 |
"id": 0,
|
trainer_state.json
ADDED
@@ -0,0 +1,3141 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.7981651376146789,
|
3 |
+
"best_model_checkpoint": "./results\\checkpoint-3000",
|
4 |
+
"epoch": 0.9501187648456056,
|
5 |
+
"eval_steps": 50,
|
6 |
+
"global_step": 4000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"learning_rate": 2.3752969121140145e-07,
|
14 |
+
"loss": 1.1402,
|
15 |
+
"step": 10
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.0,
|
19 |
+
"learning_rate": 4.750593824228029e-07,
|
20 |
+
"loss": 1.0834,
|
21 |
+
"step": 20
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.01,
|
25 |
+
"learning_rate": 7.125890736342043e-07,
|
26 |
+
"loss": 0.9403,
|
27 |
+
"step": 30
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.01,
|
31 |
+
"learning_rate": 9.501187648456058e-07,
|
32 |
+
"loss": 0.8238,
|
33 |
+
"step": 40
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.01,
|
37 |
+
"learning_rate": 1.187648456057007e-06,
|
38 |
+
"loss": 0.7737,
|
39 |
+
"step": 50
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.01,
|
43 |
+
"eval_accuracy": 0.5091743119266054,
|
44 |
+
"eval_loss": 0.7308847904205322,
|
45 |
+
"eval_runtime": 10.532,
|
46 |
+
"eval_samples_per_second": 82.796,
|
47 |
+
"eval_steps_per_second": 5.222,
|
48 |
+
"step": 50
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 0.01,
|
52 |
+
"learning_rate": 1.4251781472684086e-06,
|
53 |
+
"loss": 0.7321,
|
54 |
+
"step": 60
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.02,
|
58 |
+
"learning_rate": 1.6627078384798101e-06,
|
59 |
+
"loss": 0.7221,
|
60 |
+
"step": 70
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 0.02,
|
64 |
+
"learning_rate": 1.9002375296912116e-06,
|
65 |
+
"loss": 0.7081,
|
66 |
+
"step": 80
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.02,
|
70 |
+
"learning_rate": 2.137767220902613e-06,
|
71 |
+
"loss": 0.7255,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.02,
|
76 |
+
"learning_rate": 2.375296912114014e-06,
|
77 |
+
"loss": 0.7094,
|
78 |
+
"step": 100
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 0.02,
|
82 |
+
"eval_accuracy": 0.5091743119266054,
|
83 |
+
"eval_loss": 0.7017449736595154,
|
84 |
+
"eval_runtime": 10.4451,
|
85 |
+
"eval_samples_per_second": 83.484,
|
86 |
+
"eval_steps_per_second": 5.266,
|
87 |
+
"step": 100
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.03,
|
91 |
+
"learning_rate": 2.612826603325416e-06,
|
92 |
+
"loss": 0.6745,
|
93 |
+
"step": 110
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.03,
|
97 |
+
"learning_rate": 2.850356294536817e-06,
|
98 |
+
"loss": 0.674,
|
99 |
+
"step": 120
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.03,
|
103 |
+
"learning_rate": 3.0878859857482185e-06,
|
104 |
+
"loss": 0.7235,
|
105 |
+
"step": 130
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.03,
|
109 |
+
"learning_rate": 3.3254156769596202e-06,
|
110 |
+
"loss": 0.7192,
|
111 |
+
"step": 140
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.04,
|
115 |
+
"learning_rate": 3.5629453681710215e-06,
|
116 |
+
"loss": 0.7033,
|
117 |
+
"step": 150
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.04,
|
121 |
+
"eval_accuracy": 0.4908256880733945,
|
122 |
+
"eval_loss": 0.7025471329689026,
|
123 |
+
"eval_runtime": 10.4492,
|
124 |
+
"eval_samples_per_second": 83.451,
|
125 |
+
"eval_steps_per_second": 5.264,
|
126 |
+
"step": 150
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 0.04,
|
130 |
+
"learning_rate": 3.8004750593824232e-06,
|
131 |
+
"loss": 0.7037,
|
132 |
+
"step": 160
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"epoch": 0.04,
|
136 |
+
"learning_rate": 4.038004750593825e-06,
|
137 |
+
"loss": 0.6754,
|
138 |
+
"step": 170
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"epoch": 0.04,
|
142 |
+
"learning_rate": 4.275534441805226e-06,
|
143 |
+
"loss": 0.7119,
|
144 |
+
"step": 180
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.05,
|
148 |
+
"learning_rate": 4.513064133016627e-06,
|
149 |
+
"loss": 0.7077,
|
150 |
+
"step": 190
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.05,
|
154 |
+
"learning_rate": 4.750593824228028e-06,
|
155 |
+
"loss": 0.698,
|
156 |
+
"step": 200
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.05,
|
160 |
+
"eval_accuracy": 0.4873853211009174,
|
161 |
+
"eval_loss": 0.7025485038757324,
|
162 |
+
"eval_runtime": 10.6349,
|
163 |
+
"eval_samples_per_second": 81.994,
|
164 |
+
"eval_steps_per_second": 5.172,
|
165 |
+
"step": 200
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.05,
|
169 |
+
"learning_rate": 4.98812351543943e-06,
|
170 |
+
"loss": 0.6954,
|
171 |
+
"step": 210
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.05,
|
175 |
+
"learning_rate": 5.225653206650832e-06,
|
176 |
+
"loss": 0.7078,
|
177 |
+
"step": 220
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.05,
|
181 |
+
"learning_rate": 5.4631828978622335e-06,
|
182 |
+
"loss": 0.6521,
|
183 |
+
"step": 230
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.06,
|
187 |
+
"learning_rate": 5.700712589073634e-06,
|
188 |
+
"loss": 0.6937,
|
189 |
+
"step": 240
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.06,
|
193 |
+
"learning_rate": 5.938242280285035e-06,
|
194 |
+
"loss": 0.6965,
|
195 |
+
"step": 250
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.06,
|
199 |
+
"eval_accuracy": 0.5229357798165137,
|
200 |
+
"eval_loss": 0.6914423704147339,
|
201 |
+
"eval_runtime": 10.7015,
|
202 |
+
"eval_samples_per_second": 81.484,
|
203 |
+
"eval_steps_per_second": 5.139,
|
204 |
+
"step": 250
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 0.06,
|
208 |
+
"learning_rate": 6.175771971496437e-06,
|
209 |
+
"loss": 0.679,
|
210 |
+
"step": 260
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 0.06,
|
214 |
+
"learning_rate": 6.4133016627078396e-06,
|
215 |
+
"loss": 0.68,
|
216 |
+
"step": 270
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 0.07,
|
220 |
+
"learning_rate": 6.6508313539192404e-06,
|
221 |
+
"loss": 0.679,
|
222 |
+
"step": 280
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 0.07,
|
226 |
+
"learning_rate": 6.888361045130641e-06,
|
227 |
+
"loss": 0.7055,
|
228 |
+
"step": 290
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 0.07,
|
232 |
+
"learning_rate": 7.125890736342043e-06,
|
233 |
+
"loss": 0.6866,
|
234 |
+
"step": 300
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.07,
|
238 |
+
"eval_accuracy": 0.5091743119266054,
|
239 |
+
"eval_loss": 0.7029032707214355,
|
240 |
+
"eval_runtime": 10.4489,
|
241 |
+
"eval_samples_per_second": 83.453,
|
242 |
+
"eval_steps_per_second": 5.264,
|
243 |
+
"step": 300
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.07,
|
247 |
+
"learning_rate": 7.363420427553444e-06,
|
248 |
+
"loss": 0.6868,
|
249 |
+
"step": 310
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.08,
|
253 |
+
"learning_rate": 7.6009501187648464e-06,
|
254 |
+
"loss": 0.6827,
|
255 |
+
"step": 320
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.08,
|
259 |
+
"learning_rate": 7.838479809976247e-06,
|
260 |
+
"loss": 0.6765,
|
261 |
+
"step": 330
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.08,
|
265 |
+
"learning_rate": 8.07600950118765e-06,
|
266 |
+
"loss": 0.6836,
|
267 |
+
"step": 340
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 0.08,
|
271 |
+
"learning_rate": 8.31353919239905e-06,
|
272 |
+
"loss": 0.6894,
|
273 |
+
"step": 350
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 0.08,
|
277 |
+
"eval_accuracy": 0.5068807339449541,
|
278 |
+
"eval_loss": 0.6934388875961304,
|
279 |
+
"eval_runtime": 9.7535,
|
280 |
+
"eval_samples_per_second": 89.404,
|
281 |
+
"eval_steps_per_second": 5.639,
|
282 |
+
"step": 350
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.09,
|
286 |
+
"learning_rate": 8.551068883610452e-06,
|
287 |
+
"loss": 0.6939,
|
288 |
+
"step": 360
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 0.09,
|
292 |
+
"learning_rate": 8.788598574821852e-06,
|
293 |
+
"loss": 0.6903,
|
294 |
+
"step": 370
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 0.09,
|
298 |
+
"learning_rate": 9.026128266033253e-06,
|
299 |
+
"loss": 0.6508,
|
300 |
+
"step": 380
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 0.09,
|
304 |
+
"learning_rate": 9.263657957244656e-06,
|
305 |
+
"loss": 0.7377,
|
306 |
+
"step": 390
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 0.1,
|
310 |
+
"learning_rate": 9.501187648456057e-06,
|
311 |
+
"loss": 0.7484,
|
312 |
+
"step": 400
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 0.1,
|
316 |
+
"eval_accuracy": 0.4908256880733945,
|
317 |
+
"eval_loss": 0.7315114140510559,
|
318 |
+
"eval_runtime": 11.129,
|
319 |
+
"eval_samples_per_second": 78.354,
|
320 |
+
"eval_steps_per_second": 4.942,
|
321 |
+
"step": 400
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.1,
|
325 |
+
"learning_rate": 9.73871733966746e-06,
|
326 |
+
"loss": 0.6887,
|
327 |
+
"step": 410
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.1,
|
331 |
+
"learning_rate": 9.97624703087886e-06,
|
332 |
+
"loss": 0.6562,
|
333 |
+
"step": 420
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 0.1,
|
337 |
+
"learning_rate": 1.0213776722090261e-05,
|
338 |
+
"loss": 0.6696,
|
339 |
+
"step": 430
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.1,
|
343 |
+
"learning_rate": 1.0451306413301664e-05,
|
344 |
+
"loss": 0.7045,
|
345 |
+
"step": 440
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.11,
|
349 |
+
"learning_rate": 1.0688836104513065e-05,
|
350 |
+
"loss": 0.6498,
|
351 |
+
"step": 450
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.11,
|
355 |
+
"eval_accuracy": 0.5997706422018348,
|
356 |
+
"eval_loss": 0.6686387658119202,
|
357 |
+
"eval_runtime": 18.4439,
|
358 |
+
"eval_samples_per_second": 47.278,
|
359 |
+
"eval_steps_per_second": 2.982,
|
360 |
+
"step": 450
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.11,
|
364 |
+
"learning_rate": 1.0926365795724467e-05,
|
365 |
+
"loss": 0.67,
|
366 |
+
"step": 460
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.11,
|
370 |
+
"learning_rate": 1.1163895486935868e-05,
|
371 |
+
"loss": 0.6821,
|
372 |
+
"step": 470
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 0.11,
|
376 |
+
"learning_rate": 1.1401425178147269e-05,
|
377 |
+
"loss": 0.6477,
|
378 |
+
"step": 480
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 0.12,
|
382 |
+
"learning_rate": 1.163895486935867e-05,
|
383 |
+
"loss": 0.6935,
|
384 |
+
"step": 490
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 0.12,
|
388 |
+
"learning_rate": 1.187648456057007e-05,
|
389 |
+
"loss": 0.6687,
|
390 |
+
"step": 500
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 0.12,
|
394 |
+
"eval_accuracy": 0.5745412844036697,
|
395 |
+
"eval_loss": 0.6807542443275452,
|
396 |
+
"eval_runtime": 24.027,
|
397 |
+
"eval_samples_per_second": 36.293,
|
398 |
+
"eval_steps_per_second": 2.289,
|
399 |
+
"step": 500
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.12,
|
403 |
+
"learning_rate": 1.2114014251781473e-05,
|
404 |
+
"loss": 0.6542,
|
405 |
+
"step": 510
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.12,
|
409 |
+
"learning_rate": 1.2351543942992874e-05,
|
410 |
+
"loss": 0.7159,
|
411 |
+
"step": 520
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 0.13,
|
415 |
+
"learning_rate": 1.2589073634204277e-05,
|
416 |
+
"loss": 0.7332,
|
417 |
+
"step": 530
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.13,
|
421 |
+
"learning_rate": 1.2826603325415679e-05,
|
422 |
+
"loss": 0.6521,
|
423 |
+
"step": 540
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.13,
|
427 |
+
"learning_rate": 1.3064133016627078e-05,
|
428 |
+
"loss": 0.673,
|
429 |
+
"step": 550
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.13,
|
433 |
+
"eval_accuracy": 0.6594036697247706,
|
434 |
+
"eval_loss": 0.6414512395858765,
|
435 |
+
"eval_runtime": 24.4855,
|
436 |
+
"eval_samples_per_second": 35.613,
|
437 |
+
"eval_steps_per_second": 2.246,
|
438 |
+
"step": 550
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 0.13,
|
442 |
+
"learning_rate": 1.3301662707838481e-05,
|
443 |
+
"loss": 0.6498,
|
444 |
+
"step": 560
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.14,
|
448 |
+
"learning_rate": 1.3539192399049882e-05,
|
449 |
+
"loss": 0.6634,
|
450 |
+
"step": 570
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.14,
|
454 |
+
"learning_rate": 1.3776722090261283e-05,
|
455 |
+
"loss": 0.6557,
|
456 |
+
"step": 580
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 0.14,
|
460 |
+
"learning_rate": 1.4014251781472683e-05,
|
461 |
+
"loss": 0.6924,
|
462 |
+
"step": 590
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 0.14,
|
466 |
+
"learning_rate": 1.4251781472684086e-05,
|
467 |
+
"loss": 0.629,
|
468 |
+
"step": 600
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 0.14,
|
472 |
+
"eval_accuracy": 0.6192660550458715,
|
473 |
+
"eval_loss": 0.6346095204353333,
|
474 |
+
"eval_runtime": 21.937,
|
475 |
+
"eval_samples_per_second": 39.75,
|
476 |
+
"eval_steps_per_second": 2.507,
|
477 |
+
"step": 600
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 0.14,
|
481 |
+
"learning_rate": 1.4489311163895489e-05,
|
482 |
+
"loss": 0.6623,
|
483 |
+
"step": 610
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 0.15,
|
487 |
+
"learning_rate": 1.4726840855106888e-05,
|
488 |
+
"loss": 0.6252,
|
489 |
+
"step": 620
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.15,
|
493 |
+
"learning_rate": 1.496437054631829e-05,
|
494 |
+
"loss": 0.6662,
|
495 |
+
"step": 630
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 0.15,
|
499 |
+
"learning_rate": 1.5201900237529693e-05,
|
500 |
+
"loss": 0.6038,
|
501 |
+
"step": 640
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 0.15,
|
505 |
+
"learning_rate": 1.5439429928741092e-05,
|
506 |
+
"loss": 0.611,
|
507 |
+
"step": 650
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.15,
|
511 |
+
"eval_accuracy": 0.6915137614678899,
|
512 |
+
"eval_loss": 0.5941868424415588,
|
513 |
+
"eval_runtime": 23.4369,
|
514 |
+
"eval_samples_per_second": 37.206,
|
515 |
+
"eval_steps_per_second": 2.347,
|
516 |
+
"step": 650
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 0.16,
|
520 |
+
"learning_rate": 1.5676959619952495e-05,
|
521 |
+
"loss": 0.5919,
|
522 |
+
"step": 660
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 0.16,
|
526 |
+
"learning_rate": 1.5914489311163897e-05,
|
527 |
+
"loss": 0.6268,
|
528 |
+
"step": 670
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 0.16,
|
532 |
+
"learning_rate": 1.61520190023753e-05,
|
533 |
+
"loss": 0.5221,
|
534 |
+
"step": 680
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.16,
|
538 |
+
"learning_rate": 1.63895486935867e-05,
|
539 |
+
"loss": 0.7314,
|
540 |
+
"step": 690
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 0.17,
|
544 |
+
"learning_rate": 1.66270783847981e-05,
|
545 |
+
"loss": 0.7231,
|
546 |
+
"step": 700
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 0.17,
|
550 |
+
"eval_accuracy": 0.6410550458715596,
|
551 |
+
"eval_loss": 0.6234958171844482,
|
552 |
+
"eval_runtime": 17.243,
|
553 |
+
"eval_samples_per_second": 50.571,
|
554 |
+
"eval_steps_per_second": 3.19,
|
555 |
+
"step": 700
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.17,
|
559 |
+
"learning_rate": 1.6864608076009504e-05,
|
560 |
+
"loss": 0.6203,
|
561 |
+
"step": 710
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 0.17,
|
565 |
+
"learning_rate": 1.7102137767220903e-05,
|
566 |
+
"loss": 0.6168,
|
567 |
+
"step": 720
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 0.17,
|
571 |
+
"learning_rate": 1.7339667458432306e-05,
|
572 |
+
"loss": 0.6334,
|
573 |
+
"step": 730
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 0.18,
|
577 |
+
"learning_rate": 1.7577197149643705e-05,
|
578 |
+
"loss": 0.6718,
|
579 |
+
"step": 740
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.18,
|
583 |
+
"learning_rate": 1.7814726840855108e-05,
|
584 |
+
"loss": 0.6445,
|
585 |
+
"step": 750
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.18,
|
589 |
+
"eval_accuracy": 0.7075688073394495,
|
590 |
+
"eval_loss": 0.5777224898338318,
|
591 |
+
"eval_runtime": 24.0528,
|
592 |
+
"eval_samples_per_second": 36.254,
|
593 |
+
"eval_steps_per_second": 2.287,
|
594 |
+
"step": 750
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 0.18,
|
598 |
+
"learning_rate": 1.8052256532066507e-05,
|
599 |
+
"loss": 0.6013,
|
600 |
+
"step": 760
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 0.18,
|
604 |
+
"learning_rate": 1.828978622327791e-05,
|
605 |
+
"loss": 0.5739,
|
606 |
+
"step": 770
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 0.19,
|
610 |
+
"learning_rate": 1.8527315914489312e-05,
|
611 |
+
"loss": 0.6245,
|
612 |
+
"step": 780
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 0.19,
|
616 |
+
"learning_rate": 1.876484560570071e-05,
|
617 |
+
"loss": 0.5358,
|
618 |
+
"step": 790
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.19,
|
622 |
+
"learning_rate": 1.9002375296912114e-05,
|
623 |
+
"loss": 0.5986,
|
624 |
+
"step": 800
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 0.19,
|
628 |
+
"eval_accuracy": 0.6685779816513762,
|
629 |
+
"eval_loss": 0.6269965767860413,
|
630 |
+
"eval_runtime": 24.3364,
|
631 |
+
"eval_samples_per_second": 35.831,
|
632 |
+
"eval_steps_per_second": 2.26,
|
633 |
+
"step": 800
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.19,
|
637 |
+
"learning_rate": 1.9239904988123516e-05,
|
638 |
+
"loss": 0.6833,
|
639 |
+
"step": 810
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.19,
|
643 |
+
"learning_rate": 1.947743467933492e-05,
|
644 |
+
"loss": 0.6864,
|
645 |
+
"step": 820
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 0.2,
|
649 |
+
"learning_rate": 1.9714964370546318e-05,
|
650 |
+
"loss": 0.5795,
|
651 |
+
"step": 830
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 0.2,
|
655 |
+
"learning_rate": 1.995249406175772e-05,
|
656 |
+
"loss": 0.6274,
|
657 |
+
"step": 840
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 0.2,
|
661 |
+
"learning_rate": 2.0190023752969123e-05,
|
662 |
+
"loss": 0.663,
|
663 |
+
"step": 850
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 0.2,
|
667 |
+
"eval_accuracy": 0.6972477064220184,
|
668 |
+
"eval_loss": 0.5657657384872437,
|
669 |
+
"eval_runtime": 26.7355,
|
670 |
+
"eval_samples_per_second": 32.616,
|
671 |
+
"eval_steps_per_second": 2.057,
|
672 |
+
"step": 850
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 0.2,
|
676 |
+
"learning_rate": 2.0427553444180522e-05,
|
677 |
+
"loss": 0.5579,
|
678 |
+
"step": 860
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 0.21,
|
682 |
+
"learning_rate": 2.0665083135391925e-05,
|
683 |
+
"loss": 0.5483,
|
684 |
+
"step": 870
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 0.21,
|
688 |
+
"learning_rate": 2.0902612826603327e-05,
|
689 |
+
"loss": 0.5827,
|
690 |
+
"step": 880
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 0.21,
|
694 |
+
"learning_rate": 2.114014251781473e-05,
|
695 |
+
"loss": 0.5757,
|
696 |
+
"step": 890
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 0.21,
|
700 |
+
"learning_rate": 2.137767220902613e-05,
|
701 |
+
"loss": 0.6553,
|
702 |
+
"step": 900
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.21,
|
706 |
+
"eval_accuracy": 0.6112385321100917,
|
707 |
+
"eval_loss": 0.639819860458374,
|
708 |
+
"eval_runtime": 23.3332,
|
709 |
+
"eval_samples_per_second": 37.372,
|
710 |
+
"eval_steps_per_second": 2.357,
|
711 |
+
"step": 900
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 0.22,
|
715 |
+
"learning_rate": 2.161520190023753e-05,
|
716 |
+
"loss": 0.5793,
|
717 |
+
"step": 910
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.22,
|
721 |
+
"learning_rate": 2.1852731591448934e-05,
|
722 |
+
"loss": 0.5839,
|
723 |
+
"step": 920
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.22,
|
727 |
+
"learning_rate": 2.2090261282660333e-05,
|
728 |
+
"loss": 0.5909,
|
729 |
+
"step": 930
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.22,
|
733 |
+
"learning_rate": 2.2327790973871736e-05,
|
734 |
+
"loss": 0.5239,
|
735 |
+
"step": 940
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 0.23,
|
739 |
+
"learning_rate": 2.2565320665083135e-05,
|
740 |
+
"loss": 0.5402,
|
741 |
+
"step": 950
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 0.23,
|
745 |
+
"eval_accuracy": 0.6915137614678899,
|
746 |
+
"eval_loss": 0.5853348970413208,
|
747 |
+
"eval_runtime": 28.0695,
|
748 |
+
"eval_samples_per_second": 31.066,
|
749 |
+
"eval_steps_per_second": 1.959,
|
750 |
+
"step": 950
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 0.23,
|
754 |
+
"learning_rate": 2.2802850356294538e-05,
|
755 |
+
"loss": 0.5396,
|
756 |
+
"step": 960
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 0.23,
|
760 |
+
"learning_rate": 2.3040380047505937e-05,
|
761 |
+
"loss": 0.5771,
|
762 |
+
"step": 970
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 0.23,
|
766 |
+
"learning_rate": 2.327790973871734e-05,
|
767 |
+
"loss": 0.5087,
|
768 |
+
"step": 980
|
769 |
+
},
|
770 |
+
{
|
771 |
+
"epoch": 0.24,
|
772 |
+
"learning_rate": 2.3515439429928742e-05,
|
773 |
+
"loss": 0.5752,
|
774 |
+
"step": 990
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 0.24,
|
778 |
+
"learning_rate": 2.375296912114014e-05,
|
779 |
+
"loss": 0.7053,
|
780 |
+
"step": 1000
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 0.24,
|
784 |
+
"eval_accuracy": 0.5779816513761468,
|
785 |
+
"eval_loss": 0.7715405225753784,
|
786 |
+
"eval_runtime": 22.4698,
|
787 |
+
"eval_samples_per_second": 38.808,
|
788 |
+
"eval_steps_per_second": 2.448,
|
789 |
+
"step": 1000
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 0.24,
|
793 |
+
"learning_rate": 2.3990498812351544e-05,
|
794 |
+
"loss": 0.5453,
|
795 |
+
"step": 1010
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 0.24,
|
799 |
+
"learning_rate": 2.4228028503562946e-05,
|
800 |
+
"loss": 0.5469,
|
801 |
+
"step": 1020
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 0.24,
|
805 |
+
"learning_rate": 2.446555819477435e-05,
|
806 |
+
"loss": 0.5702,
|
807 |
+
"step": 1030
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.25,
|
811 |
+
"learning_rate": 2.4703087885985748e-05,
|
812 |
+
"loss": 0.519,
|
813 |
+
"step": 1040
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 0.25,
|
817 |
+
"learning_rate": 2.494061757719715e-05,
|
818 |
+
"loss": 0.613,
|
819 |
+
"step": 1050
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 0.25,
|
823 |
+
"eval_accuracy": 0.6112385321100917,
|
824 |
+
"eval_loss": 0.713302493095398,
|
825 |
+
"eval_runtime": 22.1389,
|
826 |
+
"eval_samples_per_second": 39.388,
|
827 |
+
"eval_steps_per_second": 2.484,
|
828 |
+
"step": 1050
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.25,
|
832 |
+
"learning_rate": 2.5178147268408553e-05,
|
833 |
+
"loss": 0.5345,
|
834 |
+
"step": 1060
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 0.25,
|
838 |
+
"learning_rate": 2.5415676959619956e-05,
|
839 |
+
"loss": 0.5408,
|
840 |
+
"step": 1070
|
841 |
+
},
|
842 |
+
{
|
843 |
+
"epoch": 0.26,
|
844 |
+
"learning_rate": 2.5653206650831358e-05,
|
845 |
+
"loss": 0.5472,
|
846 |
+
"step": 1080
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 0.26,
|
850 |
+
"learning_rate": 2.5890736342042754e-05,
|
851 |
+
"loss": 0.6234,
|
852 |
+
"step": 1090
|
853 |
+
},
|
854 |
+
{
|
855 |
+
"epoch": 0.26,
|
856 |
+
"learning_rate": 2.6128266033254157e-05,
|
857 |
+
"loss": 0.4965,
|
858 |
+
"step": 1100
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 0.26,
|
862 |
+
"eval_accuracy": 0.7385321100917431,
|
863 |
+
"eval_loss": 0.5148417353630066,
|
864 |
+
"eval_runtime": 11.4511,
|
865 |
+
"eval_samples_per_second": 76.15,
|
866 |
+
"eval_steps_per_second": 4.803,
|
867 |
+
"step": 1100
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 0.26,
|
871 |
+
"learning_rate": 2.636579572446556e-05,
|
872 |
+
"loss": 0.5747,
|
873 |
+
"step": 1110
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 0.27,
|
877 |
+
"learning_rate": 2.6603325415676962e-05,
|
878 |
+
"loss": 0.8352,
|
879 |
+
"step": 1120
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 0.27,
|
883 |
+
"learning_rate": 2.6840855106888364e-05,
|
884 |
+
"loss": 0.6406,
|
885 |
+
"step": 1130
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 0.27,
|
889 |
+
"learning_rate": 2.7078384798099763e-05,
|
890 |
+
"loss": 0.5701,
|
891 |
+
"step": 1140
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.27,
|
895 |
+
"learning_rate": 2.7315914489311166e-05,
|
896 |
+
"loss": 0.5114,
|
897 |
+
"step": 1150
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 0.27,
|
901 |
+
"eval_accuracy": 0.6467889908256881,
|
902 |
+
"eval_loss": 0.6622269749641418,
|
903 |
+
"eval_runtime": 11.4464,
|
904 |
+
"eval_samples_per_second": 76.181,
|
905 |
+
"eval_steps_per_second": 4.805,
|
906 |
+
"step": 1150
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 0.28,
|
910 |
+
"learning_rate": 2.7553444180522565e-05,
|
911 |
+
"loss": 0.6769,
|
912 |
+
"step": 1160
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.28,
|
916 |
+
"learning_rate": 2.7790973871733968e-05,
|
917 |
+
"loss": 0.5533,
|
918 |
+
"step": 1170
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 0.28,
|
922 |
+
"learning_rate": 2.8028503562945367e-05,
|
923 |
+
"loss": 0.4968,
|
924 |
+
"step": 1180
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 0.28,
|
928 |
+
"learning_rate": 2.826603325415677e-05,
|
929 |
+
"loss": 0.4944,
|
930 |
+
"step": 1190
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 0.29,
|
934 |
+
"learning_rate": 2.8503562945368172e-05,
|
935 |
+
"loss": 0.4682,
|
936 |
+
"step": 1200
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 0.29,
|
940 |
+
"eval_accuracy": 0.7213302752293578,
|
941 |
+
"eval_loss": 0.5471405386924744,
|
942 |
+
"eval_runtime": 11.4757,
|
943 |
+
"eval_samples_per_second": 75.987,
|
944 |
+
"eval_steps_per_second": 4.793,
|
945 |
+
"step": 1200
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 0.29,
|
949 |
+
"learning_rate": 2.8741092636579575e-05,
|
950 |
+
"loss": 0.5635,
|
951 |
+
"step": 1210
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 0.29,
|
955 |
+
"learning_rate": 2.8978622327790977e-05,
|
956 |
+
"loss": 0.4861,
|
957 |
+
"step": 1220
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 0.29,
|
961 |
+
"learning_rate": 2.9216152019002373e-05,
|
962 |
+
"loss": 0.5109,
|
963 |
+
"step": 1230
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 0.29,
|
967 |
+
"learning_rate": 2.9453681710213776e-05,
|
968 |
+
"loss": 0.5228,
|
969 |
+
"step": 1240
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.3,
|
973 |
+
"learning_rate": 2.9691211401425178e-05,
|
974 |
+
"loss": 0.4801,
|
975 |
+
"step": 1250
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.3,
|
979 |
+
"eval_accuracy": 0.7545871559633027,
|
980 |
+
"eval_loss": 0.4974513649940491,
|
981 |
+
"eval_runtime": 11.4419,
|
982 |
+
"eval_samples_per_second": 76.211,
|
983 |
+
"eval_steps_per_second": 4.807,
|
984 |
+
"step": 1250
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 0.3,
|
988 |
+
"learning_rate": 2.992874109263658e-05,
|
989 |
+
"loss": 0.3829,
|
990 |
+
"step": 1260
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 0.3,
|
994 |
+
"learning_rate": 3.0166270783847983e-05,
|
995 |
+
"loss": 0.527,
|
996 |
+
"step": 1270
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.3,
|
1000 |
+
"learning_rate": 3.0403800475059386e-05,
|
1001 |
+
"loss": 0.5883,
|
1002 |
+
"step": 1280
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 0.31,
|
1006 |
+
"learning_rate": 3.064133016627079e-05,
|
1007 |
+
"loss": 0.5133,
|
1008 |
+
"step": 1290
|
1009 |
+
},
|
1010 |
+
{
|
1011 |
+
"epoch": 0.31,
|
1012 |
+
"learning_rate": 3.0878859857482184e-05,
|
1013 |
+
"loss": 0.5178,
|
1014 |
+
"step": 1300
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 0.31,
|
1018 |
+
"eval_accuracy": 0.7236238532110092,
|
1019 |
+
"eval_loss": 0.5414833426475525,
|
1020 |
+
"eval_runtime": 11.5239,
|
1021 |
+
"eval_samples_per_second": 75.669,
|
1022 |
+
"eval_steps_per_second": 4.773,
|
1023 |
+
"step": 1300
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 0.31,
|
1027 |
+
"learning_rate": 3.111638954869359e-05,
|
1028 |
+
"loss": 0.4607,
|
1029 |
+
"step": 1310
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 0.31,
|
1033 |
+
"learning_rate": 3.135391923990499e-05,
|
1034 |
+
"loss": 0.4809,
|
1035 |
+
"step": 1320
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 0.32,
|
1039 |
+
"learning_rate": 3.159144893111639e-05,
|
1040 |
+
"loss": 0.5025,
|
1041 |
+
"step": 1330
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 0.32,
|
1045 |
+
"learning_rate": 3.1828978622327794e-05,
|
1046 |
+
"loss": 0.514,
|
1047 |
+
"step": 1340
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 0.32,
|
1051 |
+
"learning_rate": 3.20665083135392e-05,
|
1052 |
+
"loss": 0.581,
|
1053 |
+
"step": 1350
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 0.32,
|
1057 |
+
"eval_accuracy": 0.7614678899082569,
|
1058 |
+
"eval_loss": 0.5108276009559631,
|
1059 |
+
"eval_runtime": 11.4369,
|
1060 |
+
"eval_samples_per_second": 76.245,
|
1061 |
+
"eval_steps_per_second": 4.809,
|
1062 |
+
"step": 1350
|
1063 |
+
},
|
1064 |
+
{
|
1065 |
+
"epoch": 0.32,
|
1066 |
+
"learning_rate": 3.23040380047506e-05,
|
1067 |
+
"loss": 0.5912,
|
1068 |
+
"step": 1360
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 0.33,
|
1072 |
+
"learning_rate": 3.2541567695961995e-05,
|
1073 |
+
"loss": 0.5702,
|
1074 |
+
"step": 1370
|
1075 |
+
},
|
1076 |
+
{
|
1077 |
+
"epoch": 0.33,
|
1078 |
+
"learning_rate": 3.27790973871734e-05,
|
1079 |
+
"loss": 0.5757,
|
1080 |
+
"step": 1380
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.33,
|
1084 |
+
"learning_rate": 3.30166270783848e-05,
|
1085 |
+
"loss": 0.5328,
|
1086 |
+
"step": 1390
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 0.33,
|
1090 |
+
"learning_rate": 3.32541567695962e-05,
|
1091 |
+
"loss": 0.5175,
|
1092 |
+
"step": 1400
|
1093 |
+
},
|
1094 |
+
{
|
1095 |
+
"epoch": 0.33,
|
1096 |
+
"eval_accuracy": 0.6651376146788991,
|
1097 |
+
"eval_loss": 0.5825160145759583,
|
1098 |
+
"eval_runtime": 12.4677,
|
1099 |
+
"eval_samples_per_second": 69.941,
|
1100 |
+
"eval_steps_per_second": 4.411,
|
1101 |
+
"step": 1400
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.33,
|
1105 |
+
"learning_rate": 3.3491686460807606e-05,
|
1106 |
+
"loss": 0.4831,
|
1107 |
+
"step": 1410
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 0.34,
|
1111 |
+
"learning_rate": 3.372921615201901e-05,
|
1112 |
+
"loss": 0.3822,
|
1113 |
+
"step": 1420
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 0.34,
|
1117 |
+
"learning_rate": 3.396674584323041e-05,
|
1118 |
+
"loss": 0.4679,
|
1119 |
+
"step": 1430
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 0.34,
|
1123 |
+
"learning_rate": 3.4204275534441806e-05,
|
1124 |
+
"loss": 0.4313,
|
1125 |
+
"step": 1440
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 0.34,
|
1129 |
+
"learning_rate": 3.444180522565321e-05,
|
1130 |
+
"loss": 0.4897,
|
1131 |
+
"step": 1450
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 0.34,
|
1135 |
+
"eval_accuracy": 0.7362385321100917,
|
1136 |
+
"eval_loss": 0.5593736171722412,
|
1137 |
+
"eval_runtime": 26.9471,
|
1138 |
+
"eval_samples_per_second": 32.36,
|
1139 |
+
"eval_steps_per_second": 2.041,
|
1140 |
+
"step": 1450
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 0.35,
|
1144 |
+
"learning_rate": 3.467933491686461e-05,
|
1145 |
+
"loss": 0.4222,
|
1146 |
+
"step": 1460
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 0.35,
|
1150 |
+
"learning_rate": 3.4916864608076014e-05,
|
1151 |
+
"loss": 0.4754,
|
1152 |
+
"step": 1470
|
1153 |
+
},
|
1154 |
+
{
|
1155 |
+
"epoch": 0.35,
|
1156 |
+
"learning_rate": 3.515439429928741e-05,
|
1157 |
+
"loss": 0.5092,
|
1158 |
+
"step": 1480
|
1159 |
+
},
|
1160 |
+
{
|
1161 |
+
"epoch": 0.35,
|
1162 |
+
"learning_rate": 3.539192399049881e-05,
|
1163 |
+
"loss": 0.4992,
|
1164 |
+
"step": 1490
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.36,
|
1168 |
+
"learning_rate": 3.5629453681710215e-05,
|
1169 |
+
"loss": 0.5653,
|
1170 |
+
"step": 1500
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 0.36,
|
1174 |
+
"eval_accuracy": 0.7672018348623854,
|
1175 |
+
"eval_loss": 0.48585110902786255,
|
1176 |
+
"eval_runtime": 24.8178,
|
1177 |
+
"eval_samples_per_second": 35.136,
|
1178 |
+
"eval_steps_per_second": 2.216,
|
1179 |
+
"step": 1500
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.36,
|
1183 |
+
"learning_rate": 3.586698337292162e-05,
|
1184 |
+
"loss": 0.4569,
|
1185 |
+
"step": 1510
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.36,
|
1189 |
+
"learning_rate": 3.6104513064133013e-05,
|
1190 |
+
"loss": 0.4708,
|
1191 |
+
"step": 1520
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 0.36,
|
1195 |
+
"learning_rate": 3.6342042755344416e-05,
|
1196 |
+
"loss": 0.5629,
|
1197 |
+
"step": 1530
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 0.37,
|
1201 |
+
"learning_rate": 3.657957244655582e-05,
|
1202 |
+
"loss": 0.4748,
|
1203 |
+
"step": 1540
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 0.37,
|
1207 |
+
"learning_rate": 3.681710213776722e-05,
|
1208 |
+
"loss": 0.4647,
|
1209 |
+
"step": 1550
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 0.37,
|
1213 |
+
"eval_accuracy": 0.7511467889908257,
|
1214 |
+
"eval_loss": 0.5034508109092712,
|
1215 |
+
"eval_runtime": 25.1309,
|
1216 |
+
"eval_samples_per_second": 34.698,
|
1217 |
+
"eval_steps_per_second": 2.189,
|
1218 |
+
"step": 1550
|
1219 |
+
},
|
1220 |
+
{
|
1221 |
+
"epoch": 0.37,
|
1222 |
+
"learning_rate": 3.7054631828978624e-05,
|
1223 |
+
"loss": 0.3937,
|
1224 |
+
"step": 1560
|
1225 |
+
},
|
1226 |
+
{
|
1227 |
+
"epoch": 0.37,
|
1228 |
+
"learning_rate": 3.7292161520190026e-05,
|
1229 |
+
"loss": 0.4446,
|
1230 |
+
"step": 1570
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 0.38,
|
1234 |
+
"learning_rate": 3.752969121140142e-05,
|
1235 |
+
"loss": 0.4019,
|
1236 |
+
"step": 1580
|
1237 |
+
},
|
1238 |
+
{
|
1239 |
+
"epoch": 0.38,
|
1240 |
+
"learning_rate": 3.7767220902612825e-05,
|
1241 |
+
"loss": 0.4452,
|
1242 |
+
"step": 1590
|
1243 |
+
},
|
1244 |
+
{
|
1245 |
+
"epoch": 0.38,
|
1246 |
+
"learning_rate": 3.800475059382423e-05,
|
1247 |
+
"loss": 0.5062,
|
1248 |
+
"step": 1600
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.38,
|
1252 |
+
"eval_accuracy": 0.7775229357798165,
|
1253 |
+
"eval_loss": 0.4737890362739563,
|
1254 |
+
"eval_runtime": 28.0162,
|
1255 |
+
"eval_samples_per_second": 31.125,
|
1256 |
+
"eval_steps_per_second": 1.963,
|
1257 |
+
"step": 1600
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 0.38,
|
1261 |
+
"learning_rate": 3.824228028503563e-05,
|
1262 |
+
"loss": 0.5397,
|
1263 |
+
"step": 1610
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 0.38,
|
1267 |
+
"learning_rate": 3.847980997624703e-05,
|
1268 |
+
"loss": 0.3397,
|
1269 |
+
"step": 1620
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.39,
|
1273 |
+
"learning_rate": 3.8717339667458435e-05,
|
1274 |
+
"loss": 0.474,
|
1275 |
+
"step": 1630
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 0.39,
|
1279 |
+
"learning_rate": 3.895486935866984e-05,
|
1280 |
+
"loss": 0.4831,
|
1281 |
+
"step": 1640
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 0.39,
|
1285 |
+
"learning_rate": 3.919239904988123e-05,
|
1286 |
+
"loss": 0.4812,
|
1287 |
+
"step": 1650
|
1288 |
+
},
|
1289 |
+
{
|
1290 |
+
"epoch": 0.39,
|
1291 |
+
"eval_accuracy": 0.7362385321100917,
|
1292 |
+
"eval_loss": 0.5663760304450989,
|
1293 |
+
"eval_runtime": 23.8733,
|
1294 |
+
"eval_samples_per_second": 36.526,
|
1295 |
+
"eval_steps_per_second": 2.304,
|
1296 |
+
"step": 1650
|
1297 |
+
},
|
1298 |
+
{
|
1299 |
+
"epoch": 0.39,
|
1300 |
+
"learning_rate": 3.9429928741092636e-05,
|
1301 |
+
"loss": 0.4661,
|
1302 |
+
"step": 1660
|
1303 |
+
},
|
1304 |
+
{
|
1305 |
+
"epoch": 0.4,
|
1306 |
+
"learning_rate": 3.966745843230404e-05,
|
1307 |
+
"loss": 0.5724,
|
1308 |
+
"step": 1670
|
1309 |
+
},
|
1310 |
+
{
|
1311 |
+
"epoch": 0.4,
|
1312 |
+
"learning_rate": 3.990498812351544e-05,
|
1313 |
+
"loss": 0.5851,
|
1314 |
+
"step": 1680
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 0.4,
|
1318 |
+
"learning_rate": 4.0142517814726843e-05,
|
1319 |
+
"loss": 0.5317,
|
1320 |
+
"step": 1690
|
1321 |
+
},
|
1322 |
+
{
|
1323 |
+
"epoch": 0.4,
|
1324 |
+
"learning_rate": 4.0380047505938246e-05,
|
1325 |
+
"loss": 0.4891,
|
1326 |
+
"step": 1700
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 0.4,
|
1330 |
+
"eval_accuracy": 0.6123853211009175,
|
1331 |
+
"eval_loss": 0.7159540057182312,
|
1332 |
+
"eval_runtime": 21.4544,
|
1333 |
+
"eval_samples_per_second": 40.644,
|
1334 |
+
"eval_steps_per_second": 2.564,
|
1335 |
+
"step": 1700
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 0.41,
|
1339 |
+
"learning_rate": 4.061757719714965e-05,
|
1340 |
+
"loss": 0.5505,
|
1341 |
+
"step": 1710
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 0.41,
|
1345 |
+
"learning_rate": 4.0855106888361044e-05,
|
1346 |
+
"loss": 0.4684,
|
1347 |
+
"step": 1720
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 0.41,
|
1351 |
+
"learning_rate": 4.109263657957245e-05,
|
1352 |
+
"loss": 0.3916,
|
1353 |
+
"step": 1730
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.41,
|
1357 |
+
"learning_rate": 4.133016627078385e-05,
|
1358 |
+
"loss": 0.48,
|
1359 |
+
"step": 1740
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 0.42,
|
1363 |
+
"learning_rate": 4.156769596199525e-05,
|
1364 |
+
"loss": 0.494,
|
1365 |
+
"step": 1750
|
1366 |
+
},
|
1367 |
+
{
|
1368 |
+
"epoch": 0.42,
|
1369 |
+
"eval_accuracy": 0.6961009174311926,
|
1370 |
+
"eval_loss": 0.6904969811439514,
|
1371 |
+
"eval_runtime": 12.0521,
|
1372 |
+
"eval_samples_per_second": 72.352,
|
1373 |
+
"eval_steps_per_second": 4.564,
|
1374 |
+
"step": 1750
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.42,
|
1378 |
+
"learning_rate": 4.1805225653206655e-05,
|
1379 |
+
"loss": 0.4914,
|
1380 |
+
"step": 1760
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 0.42,
|
1384 |
+
"learning_rate": 4.204275534441806e-05,
|
1385 |
+
"loss": 0.4142,
|
1386 |
+
"step": 1770
|
1387 |
+
},
|
1388 |
+
{
|
1389 |
+
"epoch": 0.42,
|
1390 |
+
"learning_rate": 4.228028503562946e-05,
|
1391 |
+
"loss": 0.3954,
|
1392 |
+
"step": 1780
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 0.43,
|
1396 |
+
"learning_rate": 4.2517814726840856e-05,
|
1397 |
+
"loss": 0.4304,
|
1398 |
+
"step": 1790
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 0.43,
|
1402 |
+
"learning_rate": 4.275534441805226e-05,
|
1403 |
+
"loss": 0.4446,
|
1404 |
+
"step": 1800
|
1405 |
+
},
|
1406 |
+
{
|
1407 |
+
"epoch": 0.43,
|
1408 |
+
"eval_accuracy": 0.7603211009174312,
|
1409 |
+
"eval_loss": 0.470760315656662,
|
1410 |
+
"eval_runtime": 11.4415,
|
1411 |
+
"eval_samples_per_second": 76.214,
|
1412 |
+
"eval_steps_per_second": 4.807,
|
1413 |
+
"step": 1800
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 0.43,
|
1417 |
+
"learning_rate": 4.299287410926366e-05,
|
1418 |
+
"loss": 0.4779,
|
1419 |
+
"step": 1810
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 0.43,
|
1423 |
+
"learning_rate": 4.323040380047506e-05,
|
1424 |
+
"loss": 0.4142,
|
1425 |
+
"step": 1820
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"epoch": 0.43,
|
1429 |
+
"learning_rate": 4.3467933491686466e-05,
|
1430 |
+
"loss": 0.4997,
|
1431 |
+
"step": 1830
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 0.44,
|
1435 |
+
"learning_rate": 4.370546318289787e-05,
|
1436 |
+
"loss": 0.456,
|
1437 |
+
"step": 1840
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.44,
|
1441 |
+
"learning_rate": 4.394299287410927e-05,
|
1442 |
+
"loss": 0.3551,
|
1443 |
+
"step": 1850
|
1444 |
+
},
|
1445 |
+
{
|
1446 |
+
"epoch": 0.44,
|
1447 |
+
"eval_accuracy": 0.6720183486238532,
|
1448 |
+
"eval_loss": 0.9761282801628113,
|
1449 |
+
"eval_runtime": 11.4416,
|
1450 |
+
"eval_samples_per_second": 76.213,
|
1451 |
+
"eval_steps_per_second": 4.807,
|
1452 |
+
"step": 1850
|
1453 |
+
},
|
1454 |
+
{
|
1455 |
+
"epoch": 0.44,
|
1456 |
+
"learning_rate": 4.418052256532067e-05,
|
1457 |
+
"loss": 0.5181,
|
1458 |
+
"step": 1860
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.44,
|
1462 |
+
"learning_rate": 4.441805225653207e-05,
|
1463 |
+
"loss": 0.4539,
|
1464 |
+
"step": 1870
|
1465 |
+
},
|
1466 |
+
{
|
1467 |
+
"epoch": 0.45,
|
1468 |
+
"learning_rate": 4.465558194774347e-05,
|
1469 |
+
"loss": 0.5408,
|
1470 |
+
"step": 1880
|
1471 |
+
},
|
1472 |
+
{
|
1473 |
+
"epoch": 0.45,
|
1474 |
+
"learning_rate": 4.4893111638954874e-05,
|
1475 |
+
"loss": 0.4418,
|
1476 |
+
"step": 1890
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 0.45,
|
1480 |
+
"learning_rate": 4.513064133016627e-05,
|
1481 |
+
"loss": 0.4393,
|
1482 |
+
"step": 1900
|
1483 |
+
},
|
1484 |
+
{
|
1485 |
+
"epoch": 0.45,
|
1486 |
+
"eval_accuracy": 0.7488532110091743,
|
1487 |
+
"eval_loss": 0.5114963054656982,
|
1488 |
+
"eval_runtime": 11.4593,
|
1489 |
+
"eval_samples_per_second": 76.095,
|
1490 |
+
"eval_steps_per_second": 4.8,
|
1491 |
+
"step": 1900
|
1492 |
+
},
|
1493 |
+
{
|
1494 |
+
"epoch": 0.45,
|
1495 |
+
"learning_rate": 4.536817102137767e-05,
|
1496 |
+
"loss": 0.3827,
|
1497 |
+
"step": 1910
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 0.46,
|
1501 |
+
"learning_rate": 4.5605700712589075e-05,
|
1502 |
+
"loss": 0.3863,
|
1503 |
+
"step": 1920
|
1504 |
+
},
|
1505 |
+
{
|
1506 |
+
"epoch": 0.46,
|
1507 |
+
"learning_rate": 4.584323040380048e-05,
|
1508 |
+
"loss": 0.3994,
|
1509 |
+
"step": 1930
|
1510 |
+
},
|
1511 |
+
{
|
1512 |
+
"epoch": 0.46,
|
1513 |
+
"learning_rate": 4.6080760095011874e-05,
|
1514 |
+
"loss": 0.498,
|
1515 |
+
"step": 1940
|
1516 |
+
},
|
1517 |
+
{
|
1518 |
+
"epoch": 0.46,
|
1519 |
+
"learning_rate": 4.6318289786223276e-05,
|
1520 |
+
"loss": 0.4129,
|
1521 |
+
"step": 1950
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.46,
|
1525 |
+
"eval_accuracy": 0.7924311926605505,
|
1526 |
+
"eval_loss": 0.4416314661502838,
|
1527 |
+
"eval_runtime": 27.8567,
|
1528 |
+
"eval_samples_per_second": 31.303,
|
1529 |
+
"eval_steps_per_second": 1.974,
|
1530 |
+
"step": 1950
|
1531 |
+
},
|
1532 |
+
{
|
1533 |
+
"epoch": 0.47,
|
1534 |
+
"learning_rate": 4.655581947743468e-05,
|
1535 |
+
"loss": 0.305,
|
1536 |
+
"step": 1960
|
1537 |
+
},
|
1538 |
+
{
|
1539 |
+
"epoch": 0.47,
|
1540 |
+
"learning_rate": 4.679334916864608e-05,
|
1541 |
+
"loss": 0.3489,
|
1542 |
+
"step": 1970
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.47,
|
1546 |
+
"learning_rate": 4.7030878859857484e-05,
|
1547 |
+
"loss": 0.5725,
|
1548 |
+
"step": 1980
|
1549 |
+
},
|
1550 |
+
{
|
1551 |
+
"epoch": 0.47,
|
1552 |
+
"learning_rate": 4.7268408551068886e-05,
|
1553 |
+
"loss": 0.3962,
|
1554 |
+
"step": 1990
|
1555 |
+
},
|
1556 |
+
{
|
1557 |
+
"epoch": 0.48,
|
1558 |
+
"learning_rate": 4.750593824228028e-05,
|
1559 |
+
"loss": 0.428,
|
1560 |
+
"step": 2000
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 0.48,
|
1564 |
+
"eval_accuracy": 0.713302752293578,
|
1565 |
+
"eval_loss": 0.5976735949516296,
|
1566 |
+
"eval_runtime": 26.9577,
|
1567 |
+
"eval_samples_per_second": 32.347,
|
1568 |
+
"eval_steps_per_second": 2.04,
|
1569 |
+
"step": 2000
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 0.48,
|
1573 |
+
"learning_rate": 4.7743467933491685e-05,
|
1574 |
+
"loss": 0.4047,
|
1575 |
+
"step": 2010
|
1576 |
+
},
|
1577 |
+
{
|
1578 |
+
"epoch": 0.48,
|
1579 |
+
"learning_rate": 4.798099762470309e-05,
|
1580 |
+
"loss": 0.4644,
|
1581 |
+
"step": 2020
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 0.48,
|
1585 |
+
"learning_rate": 4.821852731591449e-05,
|
1586 |
+
"loss": 0.5173,
|
1587 |
+
"step": 2030
|
1588 |
+
},
|
1589 |
+
{
|
1590 |
+
"epoch": 0.48,
|
1591 |
+
"learning_rate": 4.845605700712589e-05,
|
1592 |
+
"loss": 0.4207,
|
1593 |
+
"step": 2040
|
1594 |
+
},
|
1595 |
+
{
|
1596 |
+
"epoch": 0.49,
|
1597 |
+
"learning_rate": 4.8693586698337295e-05,
|
1598 |
+
"loss": 0.6847,
|
1599 |
+
"step": 2050
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 0.49,
|
1603 |
+
"eval_accuracy": 0.7522935779816514,
|
1604 |
+
"eval_loss": 0.4740794599056244,
|
1605 |
+
"eval_runtime": 26.5007,
|
1606 |
+
"eval_samples_per_second": 32.905,
|
1607 |
+
"eval_steps_per_second": 2.075,
|
1608 |
+
"step": 2050
|
1609 |
+
},
|
1610 |
+
{
|
1611 |
+
"epoch": 0.49,
|
1612 |
+
"learning_rate": 4.89311163895487e-05,
|
1613 |
+
"loss": 0.4262,
|
1614 |
+
"step": 2060
|
1615 |
+
},
|
1616 |
+
{
|
1617 |
+
"epoch": 0.49,
|
1618 |
+
"learning_rate": 4.9168646080760093e-05,
|
1619 |
+
"loss": 0.3127,
|
1620 |
+
"step": 2070
|
1621 |
+
},
|
1622 |
+
{
|
1623 |
+
"epoch": 0.49,
|
1624 |
+
"learning_rate": 4.9406175771971496e-05,
|
1625 |
+
"loss": 0.4341,
|
1626 |
+
"step": 2080
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.5,
|
1630 |
+
"learning_rate": 4.96437054631829e-05,
|
1631 |
+
"loss": 0.3944,
|
1632 |
+
"step": 2090
|
1633 |
+
},
|
1634 |
+
{
|
1635 |
+
"epoch": 0.5,
|
1636 |
+
"learning_rate": 4.98812351543943e-05,
|
1637 |
+
"loss": 0.4921,
|
1638 |
+
"step": 2100
|
1639 |
+
},
|
1640 |
+
{
|
1641 |
+
"epoch": 0.5,
|
1642 |
+
"eval_accuracy": 0.731651376146789,
|
1643 |
+
"eval_loss": 0.5092917680740356,
|
1644 |
+
"eval_runtime": 29.3929,
|
1645 |
+
"eval_samples_per_second": 29.667,
|
1646 |
+
"eval_steps_per_second": 1.871,
|
1647 |
+
"step": 2100
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.5,
|
1651 |
+
"learning_rate": 4.998680390604381e-05,
|
1652 |
+
"loss": 0.4166,
|
1653 |
+
"step": 2110
|
1654 |
+
},
|
1655 |
+
{
|
1656 |
+
"epoch": 0.5,
|
1657 |
+
"learning_rate": 4.996041171813143e-05,
|
1658 |
+
"loss": 0.3623,
|
1659 |
+
"step": 2120
|
1660 |
+
},
|
1661 |
+
{
|
1662 |
+
"epoch": 0.51,
|
1663 |
+
"learning_rate": 4.9934019530219056e-05,
|
1664 |
+
"loss": 0.4034,
|
1665 |
+
"step": 2130
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 0.51,
|
1669 |
+
"learning_rate": 4.990762734230668e-05,
|
1670 |
+
"loss": 0.4566,
|
1671 |
+
"step": 2140
|
1672 |
+
},
|
1673 |
+
{
|
1674 |
+
"epoch": 0.51,
|
1675 |
+
"learning_rate": 4.98812351543943e-05,
|
1676 |
+
"loss": 0.4414,
|
1677 |
+
"step": 2150
|
1678 |
+
},
|
1679 |
+
{
|
1680 |
+
"epoch": 0.51,
|
1681 |
+
"eval_accuracy": 0.713302752293578,
|
1682 |
+
"eval_loss": 0.6652459502220154,
|
1683 |
+
"eval_runtime": 25.6161,
|
1684 |
+
"eval_samples_per_second": 34.041,
|
1685 |
+
"eval_steps_per_second": 2.147,
|
1686 |
+
"step": 2150
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 0.51,
|
1690 |
+
"learning_rate": 4.9854842966481924e-05,
|
1691 |
+
"loss": 0.4862,
|
1692 |
+
"step": 2160
|
1693 |
+
},
|
1694 |
+
{
|
1695 |
+
"epoch": 0.52,
|
1696 |
+
"learning_rate": 4.9831089997360785e-05,
|
1697 |
+
"loss": 0.5651,
|
1698 |
+
"step": 2170
|
1699 |
+
},
|
1700 |
+
{
|
1701 |
+
"epoch": 0.52,
|
1702 |
+
"learning_rate": 4.98046978094484e-05,
|
1703 |
+
"loss": 0.4251,
|
1704 |
+
"step": 2180
|
1705 |
+
},
|
1706 |
+
{
|
1707 |
+
"epoch": 0.52,
|
1708 |
+
"learning_rate": 4.9778305621536024e-05,
|
1709 |
+
"loss": 0.514,
|
1710 |
+
"step": 2190
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.52,
|
1714 |
+
"learning_rate": 4.9751913433623646e-05,
|
1715 |
+
"loss": 0.3697,
|
1716 |
+
"step": 2200
|
1717 |
+
},
|
1718 |
+
{
|
1719 |
+
"epoch": 0.52,
|
1720 |
+
"eval_accuracy": 0.7350917431192661,
|
1721 |
+
"eval_loss": 0.5495473146438599,
|
1722 |
+
"eval_runtime": 27.2319,
|
1723 |
+
"eval_samples_per_second": 32.021,
|
1724 |
+
"eval_steps_per_second": 2.02,
|
1725 |
+
"step": 2200
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"epoch": 0.52,
|
1729 |
+
"learning_rate": 4.972552124571127e-05,
|
1730 |
+
"loss": 0.3555,
|
1731 |
+
"step": 2210
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.53,
|
1735 |
+
"learning_rate": 4.969912905779889e-05,
|
1736 |
+
"loss": 0.3627,
|
1737 |
+
"step": 2220
|
1738 |
+
},
|
1739 |
+
{
|
1740 |
+
"epoch": 0.53,
|
1741 |
+
"learning_rate": 4.9672736869886514e-05,
|
1742 |
+
"loss": 0.353,
|
1743 |
+
"step": 2230
|
1744 |
+
},
|
1745 |
+
{
|
1746 |
+
"epoch": 0.53,
|
1747 |
+
"learning_rate": 4.964634468197414e-05,
|
1748 |
+
"loss": 0.3561,
|
1749 |
+
"step": 2240
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 0.53,
|
1753 |
+
"learning_rate": 4.961995249406176e-05,
|
1754 |
+
"loss": 0.3599,
|
1755 |
+
"step": 2250
|
1756 |
+
},
|
1757 |
+
{
|
1758 |
+
"epoch": 0.53,
|
1759 |
+
"eval_accuracy": 0.783256880733945,
|
1760 |
+
"eval_loss": 0.4456700384616852,
|
1761 |
+
"eval_runtime": 27.007,
|
1762 |
+
"eval_samples_per_second": 32.288,
|
1763 |
+
"eval_steps_per_second": 2.037,
|
1764 |
+
"step": 2250
|
1765 |
+
},
|
1766 |
+
{
|
1767 |
+
"epoch": 0.54,
|
1768 |
+
"learning_rate": 4.959356030614938e-05,
|
1769 |
+
"loss": 0.3917,
|
1770 |
+
"step": 2260
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 0.54,
|
1774 |
+
"learning_rate": 4.9567168118237005e-05,
|
1775 |
+
"loss": 0.3342,
|
1776 |
+
"step": 2270
|
1777 |
+
},
|
1778 |
+
{
|
1779 |
+
"epoch": 0.54,
|
1780 |
+
"learning_rate": 4.954077593032463e-05,
|
1781 |
+
"loss": 0.3964,
|
1782 |
+
"step": 2280
|
1783 |
+
},
|
1784 |
+
{
|
1785 |
+
"epoch": 0.54,
|
1786 |
+
"learning_rate": 4.9514383742412244e-05,
|
1787 |
+
"loss": 0.4588,
|
1788 |
+
"step": 2290
|
1789 |
+
},
|
1790 |
+
{
|
1791 |
+
"epoch": 0.55,
|
1792 |
+
"learning_rate": 4.9487991554499866e-05,
|
1793 |
+
"loss": 0.4021,
|
1794 |
+
"step": 2300
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.55,
|
1798 |
+
"eval_accuracy": 0.7924311926605505,
|
1799 |
+
"eval_loss": 0.43415939807891846,
|
1800 |
+
"eval_runtime": 28.1746,
|
1801 |
+
"eval_samples_per_second": 30.95,
|
1802 |
+
"eval_steps_per_second": 1.952,
|
1803 |
+
"step": 2300
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"epoch": 0.55,
|
1807 |
+
"learning_rate": 4.946159936658749e-05,
|
1808 |
+
"loss": 0.3698,
|
1809 |
+
"step": 2310
|
1810 |
+
},
|
1811 |
+
{
|
1812 |
+
"epoch": 0.55,
|
1813 |
+
"learning_rate": 4.943520717867511e-05,
|
1814 |
+
"loss": 0.4352,
|
1815 |
+
"step": 2320
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.55,
|
1819 |
+
"learning_rate": 4.9408814990762734e-05,
|
1820 |
+
"loss": 0.4253,
|
1821 |
+
"step": 2330
|
1822 |
+
},
|
1823 |
+
{
|
1824 |
+
"epoch": 0.56,
|
1825 |
+
"learning_rate": 4.938242280285036e-05,
|
1826 |
+
"loss": 0.3442,
|
1827 |
+
"step": 2340
|
1828 |
+
},
|
1829 |
+
{
|
1830 |
+
"epoch": 0.56,
|
1831 |
+
"learning_rate": 4.935603061493798e-05,
|
1832 |
+
"loss": 0.4341,
|
1833 |
+
"step": 2350
|
1834 |
+
},
|
1835 |
+
{
|
1836 |
+
"epoch": 0.56,
|
1837 |
+
"eval_accuracy": 0.7626146788990825,
|
1838 |
+
"eval_loss": 0.4870525598526001,
|
1839 |
+
"eval_runtime": 27.9701,
|
1840 |
+
"eval_samples_per_second": 31.176,
|
1841 |
+
"eval_steps_per_second": 1.966,
|
1842 |
+
"step": 2350
|
1843 |
+
},
|
1844 |
+
{
|
1845 |
+
"epoch": 0.56,
|
1846 |
+
"learning_rate": 4.93296384270256e-05,
|
1847 |
+
"loss": 0.3156,
|
1848 |
+
"step": 2360
|
1849 |
+
},
|
1850 |
+
{
|
1851 |
+
"epoch": 0.56,
|
1852 |
+
"learning_rate": 4.9303246239113225e-05,
|
1853 |
+
"loss": 0.3465,
|
1854 |
+
"step": 2370
|
1855 |
+
},
|
1856 |
+
{
|
1857 |
+
"epoch": 0.57,
|
1858 |
+
"learning_rate": 4.927685405120085e-05,
|
1859 |
+
"loss": 0.3555,
|
1860 |
+
"step": 2380
|
1861 |
+
},
|
1862 |
+
{
|
1863 |
+
"epoch": 0.57,
|
1864 |
+
"learning_rate": 4.9250461863288464e-05,
|
1865 |
+
"loss": 0.4034,
|
1866 |
+
"step": 2390
|
1867 |
+
},
|
1868 |
+
{
|
1869 |
+
"epoch": 0.57,
|
1870 |
+
"learning_rate": 4.9224069675376086e-05,
|
1871 |
+
"loss": 0.4811,
|
1872 |
+
"step": 2400
|
1873 |
+
},
|
1874 |
+
{
|
1875 |
+
"epoch": 0.57,
|
1876 |
+
"eval_accuracy": 0.694954128440367,
|
1877 |
+
"eval_loss": 1.0977351665496826,
|
1878 |
+
"eval_runtime": 25.7159,
|
1879 |
+
"eval_samples_per_second": 33.909,
|
1880 |
+
"eval_steps_per_second": 2.139,
|
1881 |
+
"step": 2400
|
1882 |
+
},
|
1883 |
+
{
|
1884 |
+
"epoch": 0.57,
|
1885 |
+
"learning_rate": 4.919767748746371e-05,
|
1886 |
+
"loss": 0.7109,
|
1887 |
+
"step": 2410
|
1888 |
+
},
|
1889 |
+
{
|
1890 |
+
"epoch": 0.57,
|
1891 |
+
"learning_rate": 4.917128529955133e-05,
|
1892 |
+
"loss": 0.4311,
|
1893 |
+
"step": 2420
|
1894 |
+
},
|
1895 |
+
{
|
1896 |
+
"epoch": 0.58,
|
1897 |
+
"learning_rate": 4.9144893111638955e-05,
|
1898 |
+
"loss": 0.4666,
|
1899 |
+
"step": 2430
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.58,
|
1903 |
+
"learning_rate": 4.911850092372658e-05,
|
1904 |
+
"loss": 0.6718,
|
1905 |
+
"step": 2440
|
1906 |
+
},
|
1907 |
+
{
|
1908 |
+
"epoch": 0.58,
|
1909 |
+
"learning_rate": 4.90921087358142e-05,
|
1910 |
+
"loss": 0.417,
|
1911 |
+
"step": 2450
|
1912 |
+
},
|
1913 |
+
{
|
1914 |
+
"epoch": 0.58,
|
1915 |
+
"eval_accuracy": 0.7637614678899083,
|
1916 |
+
"eval_loss": 0.4990720748901367,
|
1917 |
+
"eval_runtime": 32.7311,
|
1918 |
+
"eval_samples_per_second": 26.641,
|
1919 |
+
"eval_steps_per_second": 1.68,
|
1920 |
+
"step": 2450
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 0.58,
|
1924 |
+
"learning_rate": 4.906571654790182e-05,
|
1925 |
+
"loss": 0.4022,
|
1926 |
+
"step": 2460
|
1927 |
+
},
|
1928 |
+
{
|
1929 |
+
"epoch": 0.59,
|
1930 |
+
"learning_rate": 4.9039324359989445e-05,
|
1931 |
+
"loss": 0.3948,
|
1932 |
+
"step": 2470
|
1933 |
+
},
|
1934 |
+
{
|
1935 |
+
"epoch": 0.59,
|
1936 |
+
"learning_rate": 4.901293217207707e-05,
|
1937 |
+
"loss": 0.4361,
|
1938 |
+
"step": 2480
|
1939 |
+
},
|
1940 |
+
{
|
1941 |
+
"epoch": 0.59,
|
1942 |
+
"learning_rate": 4.898653998416469e-05,
|
1943 |
+
"loss": 0.3763,
|
1944 |
+
"step": 2490
|
1945 |
+
},
|
1946 |
+
{
|
1947 |
+
"epoch": 0.59,
|
1948 |
+
"learning_rate": 4.8960147796252307e-05,
|
1949 |
+
"loss": 0.4257,
|
1950 |
+
"step": 2500
|
1951 |
+
},
|
1952 |
+
{
|
1953 |
+
"epoch": 0.59,
|
1954 |
+
"eval_accuracy": 0.7626146788990825,
|
1955 |
+
"eval_loss": 0.6092020869255066,
|
1956 |
+
"eval_runtime": 17.7696,
|
1957 |
+
"eval_samples_per_second": 49.073,
|
1958 |
+
"eval_steps_per_second": 3.095,
|
1959 |
+
"step": 2500
|
1960 |
+
},
|
1961 |
+
{
|
1962 |
+
"epoch": 0.6,
|
1963 |
+
"learning_rate": 4.893375560833993e-05,
|
1964 |
+
"loss": 0.3702,
|
1965 |
+
"step": 2510
|
1966 |
+
},
|
1967 |
+
{
|
1968 |
+
"epoch": 0.6,
|
1969 |
+
"learning_rate": 4.890736342042755e-05,
|
1970 |
+
"loss": 0.3374,
|
1971 |
+
"step": 2520
|
1972 |
+
},
|
1973 |
+
{
|
1974 |
+
"epoch": 0.6,
|
1975 |
+
"learning_rate": 4.8880971232515175e-05,
|
1976 |
+
"loss": 0.4812,
|
1977 |
+
"step": 2530
|
1978 |
+
},
|
1979 |
+
{
|
1980 |
+
"epoch": 0.6,
|
1981 |
+
"learning_rate": 4.88545790446028e-05,
|
1982 |
+
"loss": 0.3349,
|
1983 |
+
"step": 2540
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.61,
|
1987 |
+
"learning_rate": 4.882818685669042e-05,
|
1988 |
+
"loss": 0.4071,
|
1989 |
+
"step": 2550
|
1990 |
+
},
|
1991 |
+
{
|
1992 |
+
"epoch": 0.61,
|
1993 |
+
"eval_accuracy": 0.8084862385321101,
|
1994 |
+
"eval_loss": 0.44936081767082214,
|
1995 |
+
"eval_runtime": 11.5824,
|
1996 |
+
"eval_samples_per_second": 75.287,
|
1997 |
+
"eval_steps_per_second": 4.749,
|
1998 |
+
"step": 2550
|
1999 |
+
},
|
2000 |
+
{
|
2001 |
+
"epoch": 0.61,
|
2002 |
+
"learning_rate": 4.880179466877804e-05,
|
2003 |
+
"loss": 0.4774,
|
2004 |
+
"step": 2560
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 0.61,
|
2008 |
+
"learning_rate": 4.8775402480865665e-05,
|
2009 |
+
"loss": 0.3806,
|
2010 |
+
"step": 2570
|
2011 |
+
},
|
2012 |
+
{
|
2013 |
+
"epoch": 0.61,
|
2014 |
+
"learning_rate": 4.874901029295329e-05,
|
2015 |
+
"loss": 0.38,
|
2016 |
+
"step": 2580
|
2017 |
+
},
|
2018 |
+
{
|
2019 |
+
"epoch": 0.62,
|
2020 |
+
"learning_rate": 4.872261810504091e-05,
|
2021 |
+
"loss": 0.4337,
|
2022 |
+
"step": 2590
|
2023 |
+
},
|
2024 |
+
{
|
2025 |
+
"epoch": 0.62,
|
2026 |
+
"learning_rate": 4.869622591712853e-05,
|
2027 |
+
"loss": 0.3033,
|
2028 |
+
"step": 2600
|
2029 |
+
},
|
2030 |
+
{
|
2031 |
+
"epoch": 0.62,
|
2032 |
+
"eval_accuracy": 0.783256880733945,
|
2033 |
+
"eval_loss": 0.4898684322834015,
|
2034 |
+
"eval_runtime": 28.0155,
|
2035 |
+
"eval_samples_per_second": 31.126,
|
2036 |
+
"eval_steps_per_second": 1.963,
|
2037 |
+
"step": 2600
|
2038 |
+
},
|
2039 |
+
{
|
2040 |
+
"epoch": 0.62,
|
2041 |
+
"learning_rate": 4.866983372921615e-05,
|
2042 |
+
"loss": 0.3711,
|
2043 |
+
"step": 2610
|
2044 |
+
},
|
2045 |
+
{
|
2046 |
+
"epoch": 0.62,
|
2047 |
+
"learning_rate": 4.864344154130377e-05,
|
2048 |
+
"loss": 0.3867,
|
2049 |
+
"step": 2620
|
2050 |
+
},
|
2051 |
+
{
|
2052 |
+
"epoch": 0.62,
|
2053 |
+
"learning_rate": 4.8617049353391395e-05,
|
2054 |
+
"loss": 0.4458,
|
2055 |
+
"step": 2630
|
2056 |
+
},
|
2057 |
+
{
|
2058 |
+
"epoch": 0.63,
|
2059 |
+
"learning_rate": 4.859065716547902e-05,
|
2060 |
+
"loss": 0.3669,
|
2061 |
+
"step": 2640
|
2062 |
+
},
|
2063 |
+
{
|
2064 |
+
"epoch": 0.63,
|
2065 |
+
"learning_rate": 4.856426497756664e-05,
|
2066 |
+
"loss": 0.4616,
|
2067 |
+
"step": 2650
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.63,
|
2071 |
+
"eval_accuracy": 0.7844036697247706,
|
2072 |
+
"eval_loss": 0.46433430910110474,
|
2073 |
+
"eval_runtime": 21.9181,
|
2074 |
+
"eval_samples_per_second": 39.784,
|
2075 |
+
"eval_steps_per_second": 2.509,
|
2076 |
+
"step": 2650
|
2077 |
+
},
|
2078 |
+
{
|
2079 |
+
"epoch": 0.63,
|
2080 |
+
"learning_rate": 4.853787278965426e-05,
|
2081 |
+
"loss": 0.5175,
|
2082 |
+
"step": 2660
|
2083 |
+
},
|
2084 |
+
{
|
2085 |
+
"epoch": 0.63,
|
2086 |
+
"learning_rate": 4.8511480601741886e-05,
|
2087 |
+
"loss": 0.4101,
|
2088 |
+
"step": 2670
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 0.64,
|
2092 |
+
"learning_rate": 4.848508841382951e-05,
|
2093 |
+
"loss": 0.3916,
|
2094 |
+
"step": 2680
|
2095 |
+
},
|
2096 |
+
{
|
2097 |
+
"epoch": 0.64,
|
2098 |
+
"learning_rate": 4.845869622591713e-05,
|
2099 |
+
"loss": 0.3209,
|
2100 |
+
"step": 2690
|
2101 |
+
},
|
2102 |
+
{
|
2103 |
+
"epoch": 0.64,
|
2104 |
+
"learning_rate": 4.8432304038004754e-05,
|
2105 |
+
"loss": 0.4432,
|
2106 |
+
"step": 2700
|
2107 |
+
},
|
2108 |
+
{
|
2109 |
+
"epoch": 0.64,
|
2110 |
+
"eval_accuracy": 0.7981651376146789,
|
2111 |
+
"eval_loss": 0.46843382716178894,
|
2112 |
+
"eval_runtime": 21.7437,
|
2113 |
+
"eval_samples_per_second": 40.104,
|
2114 |
+
"eval_steps_per_second": 2.529,
|
2115 |
+
"step": 2700
|
2116 |
+
},
|
2117 |
+
{
|
2118 |
+
"epoch": 0.64,
|
2119 |
+
"learning_rate": 4.840591185009237e-05,
|
2120 |
+
"loss": 0.33,
|
2121 |
+
"step": 2710
|
2122 |
+
},
|
2123 |
+
{
|
2124 |
+
"epoch": 0.65,
|
2125 |
+
"learning_rate": 4.837951966217999e-05,
|
2126 |
+
"loss": 0.3966,
|
2127 |
+
"step": 2720
|
2128 |
+
},
|
2129 |
+
{
|
2130 |
+
"epoch": 0.65,
|
2131 |
+
"learning_rate": 4.8353127474267615e-05,
|
2132 |
+
"loss": 0.312,
|
2133 |
+
"step": 2730
|
2134 |
+
},
|
2135 |
+
{
|
2136 |
+
"epoch": 0.65,
|
2137 |
+
"learning_rate": 4.832673528635524e-05,
|
2138 |
+
"loss": 0.3508,
|
2139 |
+
"step": 2740
|
2140 |
+
},
|
2141 |
+
{
|
2142 |
+
"epoch": 0.65,
|
2143 |
+
"learning_rate": 4.830034309844286e-05,
|
2144 |
+
"loss": 0.3636,
|
2145 |
+
"step": 2750
|
2146 |
+
},
|
2147 |
+
{
|
2148 |
+
"epoch": 0.65,
|
2149 |
+
"eval_accuracy": 0.7694954128440367,
|
2150 |
+
"eval_loss": 0.6283801198005676,
|
2151 |
+
"eval_runtime": 20.1708,
|
2152 |
+
"eval_samples_per_second": 43.231,
|
2153 |
+
"eval_steps_per_second": 2.727,
|
2154 |
+
"step": 2750
|
2155 |
+
},
|
2156 |
+
{
|
2157 |
+
"epoch": 0.66,
|
2158 |
+
"learning_rate": 4.827395091053048e-05,
|
2159 |
+
"loss": 0.5102,
|
2160 |
+
"step": 2760
|
2161 |
+
},
|
2162 |
+
{
|
2163 |
+
"epoch": 0.66,
|
2164 |
+
"learning_rate": 4.8247558722618106e-05,
|
2165 |
+
"loss": 0.4305,
|
2166 |
+
"step": 2770
|
2167 |
+
},
|
2168 |
+
{
|
2169 |
+
"epoch": 0.66,
|
2170 |
+
"learning_rate": 4.822116653470573e-05,
|
2171 |
+
"loss": 0.3684,
|
2172 |
+
"step": 2780
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 0.66,
|
2176 |
+
"learning_rate": 4.819477434679335e-05,
|
2177 |
+
"loss": 0.3314,
|
2178 |
+
"step": 2790
|
2179 |
+
},
|
2180 |
+
{
|
2181 |
+
"epoch": 0.67,
|
2182 |
+
"learning_rate": 4.8168382158880974e-05,
|
2183 |
+
"loss": 0.4871,
|
2184 |
+
"step": 2800
|
2185 |
+
},
|
2186 |
+
{
|
2187 |
+
"epoch": 0.67,
|
2188 |
+
"eval_accuracy": 0.7729357798165137,
|
2189 |
+
"eval_loss": 0.5208825469017029,
|
2190 |
+
"eval_runtime": 21.7303,
|
2191 |
+
"eval_samples_per_second": 40.128,
|
2192 |
+
"eval_steps_per_second": 2.531,
|
2193 |
+
"step": 2800
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 0.67,
|
2197 |
+
"learning_rate": 4.814198997096859e-05,
|
2198 |
+
"loss": 0.3994,
|
2199 |
+
"step": 2810
|
2200 |
+
},
|
2201 |
+
{
|
2202 |
+
"epoch": 0.67,
|
2203 |
+
"learning_rate": 4.811559778305621e-05,
|
2204 |
+
"loss": 0.3938,
|
2205 |
+
"step": 2820
|
2206 |
+
},
|
2207 |
+
{
|
2208 |
+
"epoch": 0.67,
|
2209 |
+
"learning_rate": 4.8089205595143835e-05,
|
2210 |
+
"loss": 0.361,
|
2211 |
+
"step": 2830
|
2212 |
+
},
|
2213 |
+
{
|
2214 |
+
"epoch": 0.67,
|
2215 |
+
"learning_rate": 4.806281340723146e-05,
|
2216 |
+
"loss": 0.3131,
|
2217 |
+
"step": 2840
|
2218 |
+
},
|
2219 |
+
{
|
2220 |
+
"epoch": 0.68,
|
2221 |
+
"learning_rate": 4.803642121931908e-05,
|
2222 |
+
"loss": 0.4091,
|
2223 |
+
"step": 2850
|
2224 |
+
},
|
2225 |
+
{
|
2226 |
+
"epoch": 0.68,
|
2227 |
+
"eval_accuracy": 0.8027522935779816,
|
2228 |
+
"eval_loss": 0.43396520614624023,
|
2229 |
+
"eval_runtime": 21.2308,
|
2230 |
+
"eval_samples_per_second": 41.072,
|
2231 |
+
"eval_steps_per_second": 2.591,
|
2232 |
+
"step": 2850
|
2233 |
+
},
|
2234 |
+
{
|
2235 |
+
"epoch": 0.68,
|
2236 |
+
"learning_rate": 4.80100290314067e-05,
|
2237 |
+
"loss": 0.386,
|
2238 |
+
"step": 2860
|
2239 |
+
},
|
2240 |
+
{
|
2241 |
+
"epoch": 0.68,
|
2242 |
+
"learning_rate": 4.7983636843494326e-05,
|
2243 |
+
"loss": 0.3953,
|
2244 |
+
"step": 2870
|
2245 |
+
},
|
2246 |
+
{
|
2247 |
+
"epoch": 0.68,
|
2248 |
+
"learning_rate": 4.795724465558195e-05,
|
2249 |
+
"loss": 0.4312,
|
2250 |
+
"step": 2880
|
2251 |
+
},
|
2252 |
+
{
|
2253 |
+
"epoch": 0.69,
|
2254 |
+
"learning_rate": 4.793085246766957e-05,
|
2255 |
+
"loss": 0.3507,
|
2256 |
+
"step": 2890
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 0.69,
|
2260 |
+
"learning_rate": 4.7904460279757194e-05,
|
2261 |
+
"loss": 0.2085,
|
2262 |
+
"step": 2900
|
2263 |
+
},
|
2264 |
+
{
|
2265 |
+
"epoch": 0.69,
|
2266 |
+
"eval_accuracy": 0.8004587155963303,
|
2267 |
+
"eval_loss": 0.5883902311325073,
|
2268 |
+
"eval_runtime": 21.6546,
|
2269 |
+
"eval_samples_per_second": 40.269,
|
2270 |
+
"eval_steps_per_second": 2.54,
|
2271 |
+
"step": 2900
|
2272 |
+
},
|
2273 |
+
{
|
2274 |
+
"epoch": 0.69,
|
2275 |
+
"learning_rate": 4.7878068091844817e-05,
|
2276 |
+
"loss": 0.5439,
|
2277 |
+
"step": 2910
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 0.69,
|
2281 |
+
"learning_rate": 4.785167590393243e-05,
|
2282 |
+
"loss": 0.4659,
|
2283 |
+
"step": 2920
|
2284 |
+
},
|
2285 |
+
{
|
2286 |
+
"epoch": 0.7,
|
2287 |
+
"learning_rate": 4.7825283716020055e-05,
|
2288 |
+
"loss": 0.495,
|
2289 |
+
"step": 2930
|
2290 |
+
},
|
2291 |
+
{
|
2292 |
+
"epoch": 0.7,
|
2293 |
+
"learning_rate": 4.779889152810768e-05,
|
2294 |
+
"loss": 0.4629,
|
2295 |
+
"step": 2940
|
2296 |
+
},
|
2297 |
+
{
|
2298 |
+
"epoch": 0.7,
|
2299 |
+
"learning_rate": 4.77724993401953e-05,
|
2300 |
+
"loss": 0.3517,
|
2301 |
+
"step": 2950
|
2302 |
+
},
|
2303 |
+
{
|
2304 |
+
"epoch": 0.7,
|
2305 |
+
"eval_accuracy": 0.7844036697247706,
|
2306 |
+
"eval_loss": 0.5798487067222595,
|
2307 |
+
"eval_runtime": 22.0365,
|
2308 |
+
"eval_samples_per_second": 39.571,
|
2309 |
+
"eval_steps_per_second": 2.496,
|
2310 |
+
"step": 2950
|
2311 |
+
},
|
2312 |
+
{
|
2313 |
+
"epoch": 0.7,
|
2314 |
+
"learning_rate": 4.774610715228292e-05,
|
2315 |
+
"loss": 0.5166,
|
2316 |
+
"step": 2960
|
2317 |
+
},
|
2318 |
+
{
|
2319 |
+
"epoch": 0.71,
|
2320 |
+
"learning_rate": 4.7719714964370546e-05,
|
2321 |
+
"loss": 0.4298,
|
2322 |
+
"step": 2970
|
2323 |
+
},
|
2324 |
+
{
|
2325 |
+
"epoch": 0.71,
|
2326 |
+
"learning_rate": 4.769332277645817e-05,
|
2327 |
+
"loss": 0.3885,
|
2328 |
+
"step": 2980
|
2329 |
+
},
|
2330 |
+
{
|
2331 |
+
"epoch": 0.71,
|
2332 |
+
"learning_rate": 4.766693058854579e-05,
|
2333 |
+
"loss": 0.4401,
|
2334 |
+
"step": 2990
|
2335 |
+
},
|
2336 |
+
{
|
2337 |
+
"epoch": 0.71,
|
2338 |
+
"learning_rate": 4.7640538400633414e-05,
|
2339 |
+
"loss": 0.37,
|
2340 |
+
"step": 3000
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 0.71,
|
2344 |
+
"eval_accuracy": 0.7981651376146789,
|
2345 |
+
"eval_loss": 0.5207229852676392,
|
2346 |
+
"eval_runtime": 11.4929,
|
2347 |
+
"eval_samples_per_second": 75.873,
|
2348 |
+
"eval_steps_per_second": 4.786,
|
2349 |
+
"step": 3000
|
2350 |
+
},
|
2351 |
+
{
|
2352 |
+
"epoch": 0.71,
|
2353 |
+
"learning_rate": 4.761414621272104e-05,
|
2354 |
+
"loss": 0.434,
|
2355 |
+
"step": 3010
|
2356 |
+
},
|
2357 |
+
{
|
2358 |
+
"epoch": 0.72,
|
2359 |
+
"learning_rate": 4.758775402480866e-05,
|
2360 |
+
"loss": 0.3609,
|
2361 |
+
"step": 3020
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 0.72,
|
2365 |
+
"learning_rate": 4.756136183689628e-05,
|
2366 |
+
"loss": 0.4148,
|
2367 |
+
"step": 3030
|
2368 |
+
},
|
2369 |
+
{
|
2370 |
+
"epoch": 0.72,
|
2371 |
+
"learning_rate": 4.7534969648983905e-05,
|
2372 |
+
"loss": 0.3513,
|
2373 |
+
"step": 3040
|
2374 |
+
},
|
2375 |
+
{
|
2376 |
+
"epoch": 0.72,
|
2377 |
+
"learning_rate": 4.750857746107152e-05,
|
2378 |
+
"loss": 0.4267,
|
2379 |
+
"step": 3050
|
2380 |
+
},
|
2381 |
+
{
|
2382 |
+
"epoch": 0.72,
|
2383 |
+
"eval_accuracy": 0.7752293577981652,
|
2384 |
+
"eval_loss": 0.4631665349006653,
|
2385 |
+
"eval_runtime": 11.4748,
|
2386 |
+
"eval_samples_per_second": 75.993,
|
2387 |
+
"eval_steps_per_second": 4.793,
|
2388 |
+
"step": 3050
|
2389 |
+
},
|
2390 |
+
{
|
2391 |
+
"epoch": 0.73,
|
2392 |
+
"learning_rate": 4.748218527315914e-05,
|
2393 |
+
"loss": 0.3484,
|
2394 |
+
"step": 3060
|
2395 |
+
},
|
2396 |
+
{
|
2397 |
+
"epoch": 0.73,
|
2398 |
+
"learning_rate": 4.7455793085246766e-05,
|
2399 |
+
"loss": 0.2985,
|
2400 |
+
"step": 3070
|
2401 |
+
},
|
2402 |
+
{
|
2403 |
+
"epoch": 0.73,
|
2404 |
+
"learning_rate": 4.742940089733439e-05,
|
2405 |
+
"loss": 0.4244,
|
2406 |
+
"step": 3080
|
2407 |
+
},
|
2408 |
+
{
|
2409 |
+
"epoch": 0.73,
|
2410 |
+
"learning_rate": 4.740300870942201e-05,
|
2411 |
+
"loss": 0.3836,
|
2412 |
+
"step": 3090
|
2413 |
+
},
|
2414 |
+
{
|
2415 |
+
"epoch": 0.74,
|
2416 |
+
"learning_rate": 4.7376616521509634e-05,
|
2417 |
+
"loss": 0.4646,
|
2418 |
+
"step": 3100
|
2419 |
+
},
|
2420 |
+
{
|
2421 |
+
"epoch": 0.74,
|
2422 |
+
"eval_accuracy": 0.7591743119266054,
|
2423 |
+
"eval_loss": 0.5199323296546936,
|
2424 |
+
"eval_runtime": 11.5496,
|
2425 |
+
"eval_samples_per_second": 75.5,
|
2426 |
+
"eval_steps_per_second": 4.762,
|
2427 |
+
"step": 3100
|
2428 |
+
},
|
2429 |
+
{
|
2430 |
+
"epoch": 0.74,
|
2431 |
+
"learning_rate": 4.735022433359726e-05,
|
2432 |
+
"loss": 0.3064,
|
2433 |
+
"step": 3110
|
2434 |
+
},
|
2435 |
+
{
|
2436 |
+
"epoch": 0.74,
|
2437 |
+
"learning_rate": 4.732383214568488e-05,
|
2438 |
+
"loss": 0.3248,
|
2439 |
+
"step": 3120
|
2440 |
+
},
|
2441 |
+
{
|
2442 |
+
"epoch": 0.74,
|
2443 |
+
"learning_rate": 4.72974399577725e-05,
|
2444 |
+
"loss": 0.3718,
|
2445 |
+
"step": 3130
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 0.75,
|
2449 |
+
"learning_rate": 4.7271047769860125e-05,
|
2450 |
+
"loss": 0.3535,
|
2451 |
+
"step": 3140
|
2452 |
+
},
|
2453 |
+
{
|
2454 |
+
"epoch": 0.75,
|
2455 |
+
"learning_rate": 4.724465558194775e-05,
|
2456 |
+
"loss": 0.3569,
|
2457 |
+
"step": 3150
|
2458 |
+
},
|
2459 |
+
{
|
2460 |
+
"epoch": 0.75,
|
2461 |
+
"eval_accuracy": 0.7672018348623854,
|
2462 |
+
"eval_loss": 0.4929494559764862,
|
2463 |
+
"eval_runtime": 12.339,
|
2464 |
+
"eval_samples_per_second": 70.67,
|
2465 |
+
"eval_steps_per_second": 4.457,
|
2466 |
+
"step": 3150
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 0.75,
|
2470 |
+
"learning_rate": 4.721826339403537e-05,
|
2471 |
+
"loss": 0.5133,
|
2472 |
+
"step": 3160
|
2473 |
+
},
|
2474 |
+
{
|
2475 |
+
"epoch": 0.75,
|
2476 |
+
"learning_rate": 4.7191871206122986e-05,
|
2477 |
+
"loss": 0.3535,
|
2478 |
+
"step": 3170
|
2479 |
+
},
|
2480 |
+
{
|
2481 |
+
"epoch": 0.76,
|
2482 |
+
"learning_rate": 4.716547901821061e-05,
|
2483 |
+
"loss": 0.4051,
|
2484 |
+
"step": 3180
|
2485 |
+
},
|
2486 |
+
{
|
2487 |
+
"epoch": 0.76,
|
2488 |
+
"learning_rate": 4.713908683029823e-05,
|
2489 |
+
"loss": 0.341,
|
2490 |
+
"step": 3190
|
2491 |
+
},
|
2492 |
+
{
|
2493 |
+
"epoch": 0.76,
|
2494 |
+
"learning_rate": 4.7112694642385854e-05,
|
2495 |
+
"loss": 0.3356,
|
2496 |
+
"step": 3200
|
2497 |
+
},
|
2498 |
+
{
|
2499 |
+
"epoch": 0.76,
|
2500 |
+
"eval_accuracy": 0.7844036697247706,
|
2501 |
+
"eval_loss": 0.4769574701786041,
|
2502 |
+
"eval_runtime": 11.5756,
|
2503 |
+
"eval_samples_per_second": 75.331,
|
2504 |
+
"eval_steps_per_second": 4.751,
|
2505 |
+
"step": 3200
|
2506 |
+
},
|
2507 |
+
{
|
2508 |
+
"epoch": 0.76,
|
2509 |
+
"learning_rate": 4.708630245447348e-05,
|
2510 |
+
"loss": 0.3053,
|
2511 |
+
"step": 3210
|
2512 |
+
},
|
2513 |
+
{
|
2514 |
+
"epoch": 0.76,
|
2515 |
+
"learning_rate": 4.70599102665611e-05,
|
2516 |
+
"loss": 0.3905,
|
2517 |
+
"step": 3220
|
2518 |
+
},
|
2519 |
+
{
|
2520 |
+
"epoch": 0.77,
|
2521 |
+
"learning_rate": 4.703351807864872e-05,
|
2522 |
+
"loss": 0.4397,
|
2523 |
+
"step": 3230
|
2524 |
+
},
|
2525 |
+
{
|
2526 |
+
"epoch": 0.77,
|
2527 |
+
"learning_rate": 4.7007125890736345e-05,
|
2528 |
+
"loss": 0.4199,
|
2529 |
+
"step": 3240
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 0.77,
|
2533 |
+
"learning_rate": 4.698073370282397e-05,
|
2534 |
+
"loss": 0.3777,
|
2535 |
+
"step": 3250
|
2536 |
+
},
|
2537 |
+
{
|
2538 |
+
"epoch": 0.77,
|
2539 |
+
"eval_accuracy": 0.786697247706422,
|
2540 |
+
"eval_loss": 0.4674142897129059,
|
2541 |
+
"eval_runtime": 25.3754,
|
2542 |
+
"eval_samples_per_second": 34.364,
|
2543 |
+
"eval_steps_per_second": 2.167,
|
2544 |
+
"step": 3250
|
2545 |
+
},
|
2546 |
+
{
|
2547 |
+
"epoch": 0.77,
|
2548 |
+
"learning_rate": 4.695434151491159e-05,
|
2549 |
+
"loss": 0.3039,
|
2550 |
+
"step": 3260
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 0.78,
|
2554 |
+
"learning_rate": 4.692794932699921e-05,
|
2555 |
+
"loss": 0.3881,
|
2556 |
+
"step": 3270
|
2557 |
+
},
|
2558 |
+
{
|
2559 |
+
"epoch": 0.78,
|
2560 |
+
"learning_rate": 4.6901557139086836e-05,
|
2561 |
+
"loss": 0.2602,
|
2562 |
+
"step": 3280
|
2563 |
+
},
|
2564 |
+
{
|
2565 |
+
"epoch": 0.78,
|
2566 |
+
"learning_rate": 4.687516495117445e-05,
|
2567 |
+
"loss": 0.3553,
|
2568 |
+
"step": 3290
|
2569 |
+
},
|
2570 |
+
{
|
2571 |
+
"epoch": 0.78,
|
2572 |
+
"learning_rate": 4.6848772763262074e-05,
|
2573 |
+
"loss": 0.3472,
|
2574 |
+
"step": 3300
|
2575 |
+
},
|
2576 |
+
{
|
2577 |
+
"epoch": 0.78,
|
2578 |
+
"eval_accuracy": 0.7373853211009175,
|
2579 |
+
"eval_loss": 0.5634092688560486,
|
2580 |
+
"eval_runtime": 26.2811,
|
2581 |
+
"eval_samples_per_second": 33.18,
|
2582 |
+
"eval_steps_per_second": 2.093,
|
2583 |
+
"step": 3300
|
2584 |
+
},
|
2585 |
+
{
|
2586 |
+
"epoch": 0.79,
|
2587 |
+
"learning_rate": 4.68223805753497e-05,
|
2588 |
+
"loss": 0.4972,
|
2589 |
+
"step": 3310
|
2590 |
+
},
|
2591 |
+
{
|
2592 |
+
"epoch": 0.79,
|
2593 |
+
"learning_rate": 4.679598838743732e-05,
|
2594 |
+
"loss": 0.3577,
|
2595 |
+
"step": 3320
|
2596 |
+
},
|
2597 |
+
{
|
2598 |
+
"epoch": 0.79,
|
2599 |
+
"learning_rate": 4.676959619952494e-05,
|
2600 |
+
"loss": 0.3653,
|
2601 |
+
"step": 3330
|
2602 |
+
},
|
2603 |
+
{
|
2604 |
+
"epoch": 0.79,
|
2605 |
+
"learning_rate": 4.6743204011612565e-05,
|
2606 |
+
"loss": 0.2476,
|
2607 |
+
"step": 3340
|
2608 |
+
},
|
2609 |
+
{
|
2610 |
+
"epoch": 0.8,
|
2611 |
+
"learning_rate": 4.671681182370019e-05,
|
2612 |
+
"loss": 0.4177,
|
2613 |
+
"step": 3350
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 0.8,
|
2617 |
+
"eval_accuracy": 0.783256880733945,
|
2618 |
+
"eval_loss": 0.5188720226287842,
|
2619 |
+
"eval_runtime": 24.6069,
|
2620 |
+
"eval_samples_per_second": 35.437,
|
2621 |
+
"eval_steps_per_second": 2.235,
|
2622 |
+
"step": 3350
|
2623 |
+
},
|
2624 |
+
{
|
2625 |
+
"epoch": 0.8,
|
2626 |
+
"learning_rate": 4.669041963578781e-05,
|
2627 |
+
"loss": 0.3181,
|
2628 |
+
"step": 3360
|
2629 |
+
},
|
2630 |
+
{
|
2631 |
+
"epoch": 0.8,
|
2632 |
+
"learning_rate": 4.666402744787543e-05,
|
2633 |
+
"loss": 0.3579,
|
2634 |
+
"step": 3370
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 0.8,
|
2638 |
+
"learning_rate": 4.6637635259963056e-05,
|
2639 |
+
"loss": 0.5733,
|
2640 |
+
"step": 3380
|
2641 |
+
},
|
2642 |
+
{
|
2643 |
+
"epoch": 0.81,
|
2644 |
+
"learning_rate": 4.661124307205068e-05,
|
2645 |
+
"loss": 0.3851,
|
2646 |
+
"step": 3390
|
2647 |
+
},
|
2648 |
+
{
|
2649 |
+
"epoch": 0.81,
|
2650 |
+
"learning_rate": 4.65848508841383e-05,
|
2651 |
+
"loss": 0.4028,
|
2652 |
+
"step": 3400
|
2653 |
+
},
|
2654 |
+
{
|
2655 |
+
"epoch": 0.81,
|
2656 |
+
"eval_accuracy": 0.7844036697247706,
|
2657 |
+
"eval_loss": 0.4956331253051758,
|
2658 |
+
"eval_runtime": 24.5882,
|
2659 |
+
"eval_samples_per_second": 35.464,
|
2660 |
+
"eval_steps_per_second": 2.237,
|
2661 |
+
"step": 3400
|
2662 |
+
},
|
2663 |
+
{
|
2664 |
+
"epoch": 0.81,
|
2665 |
+
"learning_rate": 4.6558458696225924e-05,
|
2666 |
+
"loss": 0.3687,
|
2667 |
+
"step": 3410
|
2668 |
+
},
|
2669 |
+
{
|
2670 |
+
"epoch": 0.81,
|
2671 |
+
"learning_rate": 4.653206650831354e-05,
|
2672 |
+
"loss": 0.353,
|
2673 |
+
"step": 3420
|
2674 |
+
},
|
2675 |
+
{
|
2676 |
+
"epoch": 0.81,
|
2677 |
+
"learning_rate": 4.650567432040116e-05,
|
2678 |
+
"loss": 0.3628,
|
2679 |
+
"step": 3430
|
2680 |
+
},
|
2681 |
+
{
|
2682 |
+
"epoch": 0.82,
|
2683 |
+
"learning_rate": 4.6479282132488785e-05,
|
2684 |
+
"loss": 0.5389,
|
2685 |
+
"step": 3440
|
2686 |
+
},
|
2687 |
+
{
|
2688 |
+
"epoch": 0.82,
|
2689 |
+
"learning_rate": 4.645288994457641e-05,
|
2690 |
+
"loss": 0.483,
|
2691 |
+
"step": 3450
|
2692 |
+
},
|
2693 |
+
{
|
2694 |
+
"epoch": 0.82,
|
2695 |
+
"eval_accuracy": 0.8084862385321101,
|
2696 |
+
"eval_loss": 0.43807780742645264,
|
2697 |
+
"eval_runtime": 24.4347,
|
2698 |
+
"eval_samples_per_second": 35.687,
|
2699 |
+
"eval_steps_per_second": 2.251,
|
2700 |
+
"step": 3450
|
2701 |
+
},
|
2702 |
+
{
|
2703 |
+
"epoch": 0.82,
|
2704 |
+
"learning_rate": 4.642649775666403e-05,
|
2705 |
+
"loss": 0.3414,
|
2706 |
+
"step": 3460
|
2707 |
+
},
|
2708 |
+
{
|
2709 |
+
"epoch": 0.82,
|
2710 |
+
"learning_rate": 4.640010556875165e-05,
|
2711 |
+
"loss": 0.4314,
|
2712 |
+
"step": 3470
|
2713 |
+
},
|
2714 |
+
{
|
2715 |
+
"epoch": 0.83,
|
2716 |
+
"learning_rate": 4.6373713380839276e-05,
|
2717 |
+
"loss": 0.2962,
|
2718 |
+
"step": 3480
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 0.83,
|
2722 |
+
"learning_rate": 4.63473211929269e-05,
|
2723 |
+
"loss": 0.2627,
|
2724 |
+
"step": 3490
|
2725 |
+
},
|
2726 |
+
{
|
2727 |
+
"epoch": 0.83,
|
2728 |
+
"learning_rate": 4.632092900501452e-05,
|
2729 |
+
"loss": 0.3413,
|
2730 |
+
"step": 3500
|
2731 |
+
},
|
2732 |
+
{
|
2733 |
+
"epoch": 0.83,
|
2734 |
+
"eval_accuracy": 0.7935779816513762,
|
2735 |
+
"eval_loss": 0.5697915554046631,
|
2736 |
+
"eval_runtime": 14.9148,
|
2737 |
+
"eval_samples_per_second": 58.465,
|
2738 |
+
"eval_steps_per_second": 3.688,
|
2739 |
+
"step": 3500
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 0.83,
|
2743 |
+
"learning_rate": 4.6294536817102144e-05,
|
2744 |
+
"loss": 0.4393,
|
2745 |
+
"step": 3510
|
2746 |
+
},
|
2747 |
+
{
|
2748 |
+
"epoch": 0.84,
|
2749 |
+
"learning_rate": 4.626814462918977e-05,
|
2750 |
+
"loss": 0.4142,
|
2751 |
+
"step": 3520
|
2752 |
+
},
|
2753 |
+
{
|
2754 |
+
"epoch": 0.84,
|
2755 |
+
"learning_rate": 4.624175244127739e-05,
|
2756 |
+
"loss": 0.3803,
|
2757 |
+
"step": 3530
|
2758 |
+
},
|
2759 |
+
{
|
2760 |
+
"epoch": 0.84,
|
2761 |
+
"learning_rate": 4.6215360253365005e-05,
|
2762 |
+
"loss": 0.4087,
|
2763 |
+
"step": 3540
|
2764 |
+
},
|
2765 |
+
{
|
2766 |
+
"epoch": 0.84,
|
2767 |
+
"learning_rate": 4.618896806545263e-05,
|
2768 |
+
"loss": 0.3966,
|
2769 |
+
"step": 3550
|
2770 |
+
},
|
2771 |
+
{
|
2772 |
+
"epoch": 0.84,
|
2773 |
+
"eval_accuracy": 0.786697247706422,
|
2774 |
+
"eval_loss": 0.47139275074005127,
|
2775 |
+
"eval_runtime": 23.4839,
|
2776 |
+
"eval_samples_per_second": 37.132,
|
2777 |
+
"eval_steps_per_second": 2.342,
|
2778 |
+
"step": 3550
|
2779 |
+
},
|
2780 |
+
{
|
2781 |
+
"epoch": 0.85,
|
2782 |
+
"learning_rate": 4.616257587754025e-05,
|
2783 |
+
"loss": 0.3998,
|
2784 |
+
"step": 3560
|
2785 |
+
},
|
2786 |
+
{
|
2787 |
+
"epoch": 0.85,
|
2788 |
+
"learning_rate": 4.6136183689627873e-05,
|
2789 |
+
"loss": 0.3903,
|
2790 |
+
"step": 3570
|
2791 |
+
},
|
2792 |
+
{
|
2793 |
+
"epoch": 0.85,
|
2794 |
+
"learning_rate": 4.6109791501715496e-05,
|
2795 |
+
"loss": 0.3425,
|
2796 |
+
"step": 3580
|
2797 |
+
},
|
2798 |
+
{
|
2799 |
+
"epoch": 0.85,
|
2800 |
+
"learning_rate": 4.608339931380312e-05,
|
2801 |
+
"loss": 0.321,
|
2802 |
+
"step": 3590
|
2803 |
+
},
|
2804 |
+
{
|
2805 |
+
"epoch": 0.86,
|
2806 |
+
"learning_rate": 4.605700712589074e-05,
|
2807 |
+
"loss": 0.3299,
|
2808 |
+
"step": 3600
|
2809 |
+
},
|
2810 |
+
{
|
2811 |
+
"epoch": 0.86,
|
2812 |
+
"eval_accuracy": 0.783256880733945,
|
2813 |
+
"eval_loss": 0.46382883191108704,
|
2814 |
+
"eval_runtime": 24.48,
|
2815 |
+
"eval_samples_per_second": 35.621,
|
2816 |
+
"eval_steps_per_second": 2.247,
|
2817 |
+
"step": 3600
|
2818 |
+
},
|
2819 |
+
{
|
2820 |
+
"epoch": 0.86,
|
2821 |
+
"learning_rate": 4.6030614937978364e-05,
|
2822 |
+
"loss": 0.4465,
|
2823 |
+
"step": 3610
|
2824 |
+
},
|
2825 |
+
{
|
2826 |
+
"epoch": 0.86,
|
2827 |
+
"learning_rate": 4.600422275006599e-05,
|
2828 |
+
"loss": 0.3761,
|
2829 |
+
"step": 3620
|
2830 |
+
},
|
2831 |
+
{
|
2832 |
+
"epoch": 0.86,
|
2833 |
+
"learning_rate": 4.597783056215361e-05,
|
2834 |
+
"loss": 0.346,
|
2835 |
+
"step": 3630
|
2836 |
+
},
|
2837 |
+
{
|
2838 |
+
"epoch": 0.86,
|
2839 |
+
"learning_rate": 4.595143837424123e-05,
|
2840 |
+
"loss": 0.3839,
|
2841 |
+
"step": 3640
|
2842 |
+
},
|
2843 |
+
{
|
2844 |
+
"epoch": 0.87,
|
2845 |
+
"learning_rate": 4.592504618632885e-05,
|
2846 |
+
"loss": 0.4783,
|
2847 |
+
"step": 3650
|
2848 |
+
},
|
2849 |
+
{
|
2850 |
+
"epoch": 0.87,
|
2851 |
+
"eval_accuracy": 0.7844036697247706,
|
2852 |
+
"eval_loss": 0.49812304973602295,
|
2853 |
+
"eval_runtime": 24.7287,
|
2854 |
+
"eval_samples_per_second": 35.263,
|
2855 |
+
"eval_steps_per_second": 2.224,
|
2856 |
+
"step": 3650
|
2857 |
+
},
|
2858 |
+
{
|
2859 |
+
"epoch": 0.87,
|
2860 |
+
"learning_rate": 4.589865399841647e-05,
|
2861 |
+
"loss": 0.3789,
|
2862 |
+
"step": 3660
|
2863 |
+
},
|
2864 |
+
{
|
2865 |
+
"epoch": 0.87,
|
2866 |
+
"learning_rate": 4.5872261810504094e-05,
|
2867 |
+
"loss": 0.4411,
|
2868 |
+
"step": 3670
|
2869 |
+
},
|
2870 |
+
{
|
2871 |
+
"epoch": 0.87,
|
2872 |
+
"learning_rate": 4.5845869622591716e-05,
|
2873 |
+
"loss": 0.4694,
|
2874 |
+
"step": 3680
|
2875 |
+
},
|
2876 |
+
{
|
2877 |
+
"epoch": 0.88,
|
2878 |
+
"learning_rate": 4.581947743467934e-05,
|
2879 |
+
"loss": 0.2994,
|
2880 |
+
"step": 3690
|
2881 |
+
},
|
2882 |
+
{
|
2883 |
+
"epoch": 0.88,
|
2884 |
+
"learning_rate": 4.579308524676696e-05,
|
2885 |
+
"loss": 0.4475,
|
2886 |
+
"step": 3700
|
2887 |
+
},
|
2888 |
+
{
|
2889 |
+
"epoch": 0.88,
|
2890 |
+
"eval_accuracy": 0.8027522935779816,
|
2891 |
+
"eval_loss": 0.4598585367202759,
|
2892 |
+
"eval_runtime": 24.9853,
|
2893 |
+
"eval_samples_per_second": 34.901,
|
2894 |
+
"eval_steps_per_second": 2.201,
|
2895 |
+
"step": 3700
|
2896 |
+
},
|
2897 |
+
{
|
2898 |
+
"epoch": 0.88,
|
2899 |
+
"learning_rate": 4.5766693058854584e-05,
|
2900 |
+
"loss": 0.3204,
|
2901 |
+
"step": 3710
|
2902 |
+
},
|
2903 |
+
{
|
2904 |
+
"epoch": 0.88,
|
2905 |
+
"learning_rate": 4.574030087094221e-05,
|
2906 |
+
"loss": 0.3833,
|
2907 |
+
"step": 3720
|
2908 |
+
},
|
2909 |
+
{
|
2910 |
+
"epoch": 0.89,
|
2911 |
+
"learning_rate": 4.571390868302983e-05,
|
2912 |
+
"loss": 0.2844,
|
2913 |
+
"step": 3730
|
2914 |
+
},
|
2915 |
+
{
|
2916 |
+
"epoch": 0.89,
|
2917 |
+
"learning_rate": 4.568751649511745e-05,
|
2918 |
+
"loss": 0.3206,
|
2919 |
+
"step": 3740
|
2920 |
+
},
|
2921 |
+
{
|
2922 |
+
"epoch": 0.89,
|
2923 |
+
"learning_rate": 4.5661124307205075e-05,
|
2924 |
+
"loss": 0.3527,
|
2925 |
+
"step": 3750
|
2926 |
+
},
|
2927 |
+
{
|
2928 |
+
"epoch": 0.89,
|
2929 |
+
"eval_accuracy": 0.7981651376146789,
|
2930 |
+
"eval_loss": 0.5331198573112488,
|
2931 |
+
"eval_runtime": 24.8534,
|
2932 |
+
"eval_samples_per_second": 35.086,
|
2933 |
+
"eval_steps_per_second": 2.213,
|
2934 |
+
"step": 3750
|
2935 |
+
},
|
2936 |
+
{
|
2937 |
+
"epoch": 0.89,
|
2938 |
+
"learning_rate": 4.563473211929269e-05,
|
2939 |
+
"loss": 0.3891,
|
2940 |
+
"step": 3760
|
2941 |
+
},
|
2942 |
+
{
|
2943 |
+
"epoch": 0.9,
|
2944 |
+
"learning_rate": 4.5608339931380314e-05,
|
2945 |
+
"loss": 0.324,
|
2946 |
+
"step": 3770
|
2947 |
+
},
|
2948 |
+
{
|
2949 |
+
"epoch": 0.9,
|
2950 |
+
"learning_rate": 4.5581947743467936e-05,
|
2951 |
+
"loss": 0.3532,
|
2952 |
+
"step": 3780
|
2953 |
+
},
|
2954 |
+
{
|
2955 |
+
"epoch": 0.9,
|
2956 |
+
"learning_rate": 4.555555555555556e-05,
|
2957 |
+
"loss": 0.3021,
|
2958 |
+
"step": 3790
|
2959 |
+
},
|
2960 |
+
{
|
2961 |
+
"epoch": 0.9,
|
2962 |
+
"learning_rate": 4.552916336764318e-05,
|
2963 |
+
"loss": 0.4124,
|
2964 |
+
"step": 3800
|
2965 |
+
},
|
2966 |
+
{
|
2967 |
+
"epoch": 0.9,
|
2968 |
+
"eval_accuracy": 0.7626146788990825,
|
2969 |
+
"eval_loss": 0.5969462394714355,
|
2970 |
+
"eval_runtime": 19.8238,
|
2971 |
+
"eval_samples_per_second": 43.988,
|
2972 |
+
"eval_steps_per_second": 2.774,
|
2973 |
+
"step": 3800
|
2974 |
+
},
|
2975 |
+
{
|
2976 |
+
"epoch": 0.9,
|
2977 |
+
"learning_rate": 4.5502771179730804e-05,
|
2978 |
+
"loss": 0.5429,
|
2979 |
+
"step": 3810
|
2980 |
+
},
|
2981 |
+
{
|
2982 |
+
"epoch": 0.91,
|
2983 |
+
"learning_rate": 4.547637899181843e-05,
|
2984 |
+
"loss": 0.4458,
|
2985 |
+
"step": 3820
|
2986 |
+
},
|
2987 |
+
{
|
2988 |
+
"epoch": 0.91,
|
2989 |
+
"learning_rate": 4.544998680390605e-05,
|
2990 |
+
"loss": 0.3272,
|
2991 |
+
"step": 3830
|
2992 |
+
},
|
2993 |
+
{
|
2994 |
+
"epoch": 0.91,
|
2995 |
+
"learning_rate": 4.542359461599367e-05,
|
2996 |
+
"loss": 0.3482,
|
2997 |
+
"step": 3840
|
2998 |
+
},
|
2999 |
+
{
|
3000 |
+
"epoch": 0.91,
|
3001 |
+
"learning_rate": 4.5397202428081295e-05,
|
3002 |
+
"loss": 0.3683,
|
3003 |
+
"step": 3850
|
3004 |
+
},
|
3005 |
+
{
|
3006 |
+
"epoch": 0.91,
|
3007 |
+
"eval_accuracy": 0.7775229357798165,
|
3008 |
+
"eval_loss": 0.5118904113769531,
|
3009 |
+
"eval_runtime": 11.5129,
|
3010 |
+
"eval_samples_per_second": 75.741,
|
3011 |
+
"eval_steps_per_second": 4.777,
|
3012 |
+
"step": 3850
|
3013 |
+
},
|
3014 |
+
{
|
3015 |
+
"epoch": 0.92,
|
3016 |
+
"learning_rate": 4.537081024016891e-05,
|
3017 |
+
"loss": 0.2501,
|
3018 |
+
"step": 3860
|
3019 |
+
},
|
3020 |
+
{
|
3021 |
+
"epoch": 0.92,
|
3022 |
+
"learning_rate": 4.5344418052256534e-05,
|
3023 |
+
"loss": 0.3256,
|
3024 |
+
"step": 3870
|
3025 |
+
},
|
3026 |
+
{
|
3027 |
+
"epoch": 0.92,
|
3028 |
+
"learning_rate": 4.5318025864344157e-05,
|
3029 |
+
"loss": 0.4049,
|
3030 |
+
"step": 3880
|
3031 |
+
},
|
3032 |
+
{
|
3033 |
+
"epoch": 0.92,
|
3034 |
+
"learning_rate": 4.529163367643178e-05,
|
3035 |
+
"loss": 0.2541,
|
3036 |
+
"step": 3890
|
3037 |
+
},
|
3038 |
+
{
|
3039 |
+
"epoch": 0.93,
|
3040 |
+
"learning_rate": 4.52652414885194e-05,
|
3041 |
+
"loss": 0.3894,
|
3042 |
+
"step": 3900
|
3043 |
+
},
|
3044 |
+
{
|
3045 |
+
"epoch": 0.93,
|
3046 |
+
"eval_accuracy": 0.8084862385321101,
|
3047 |
+
"eval_loss": 0.5941323041915894,
|
3048 |
+
"eval_runtime": 25.3823,
|
3049 |
+
"eval_samples_per_second": 34.355,
|
3050 |
+
"eval_steps_per_second": 2.167,
|
3051 |
+
"step": 3900
|
3052 |
+
},
|
3053 |
+
{
|
3054 |
+
"epoch": 0.93,
|
3055 |
+
"learning_rate": 4.5238849300607025e-05,
|
3056 |
+
"loss": 0.4195,
|
3057 |
+
"step": 3910
|
3058 |
+
},
|
3059 |
+
{
|
3060 |
+
"epoch": 0.93,
|
3061 |
+
"learning_rate": 4.521245711269465e-05,
|
3062 |
+
"loss": 0.2915,
|
3063 |
+
"step": 3920
|
3064 |
+
},
|
3065 |
+
{
|
3066 |
+
"epoch": 0.93,
|
3067 |
+
"learning_rate": 4.518606492478227e-05,
|
3068 |
+
"loss": 0.3745,
|
3069 |
+
"step": 3930
|
3070 |
+
},
|
3071 |
+
{
|
3072 |
+
"epoch": 0.94,
|
3073 |
+
"learning_rate": 4.515967273686989e-05,
|
3074 |
+
"loss": 0.3915,
|
3075 |
+
"step": 3940
|
3076 |
+
},
|
3077 |
+
{
|
3078 |
+
"epoch": 0.94,
|
3079 |
+
"learning_rate": 4.5133280548957515e-05,
|
3080 |
+
"loss": 0.4001,
|
3081 |
+
"step": 3950
|
3082 |
+
},
|
3083 |
+
{
|
3084 |
+
"epoch": 0.94,
|
3085 |
+
"eval_accuracy": 0.7717889908256881,
|
3086 |
+
"eval_loss": 0.4977372884750366,
|
3087 |
+
"eval_runtime": 11.5193,
|
3088 |
+
"eval_samples_per_second": 75.699,
|
3089 |
+
"eval_steps_per_second": 4.775,
|
3090 |
+
"step": 3950
|
3091 |
+
},
|
3092 |
+
{
|
3093 |
+
"epoch": 0.94,
|
3094 |
+
"learning_rate": 4.510688836104514e-05,
|
3095 |
+
"loss": 0.2936,
|
3096 |
+
"step": 3960
|
3097 |
+
},
|
3098 |
+
{
|
3099 |
+
"epoch": 0.94,
|
3100 |
+
"learning_rate": 4.5080496173132754e-05,
|
3101 |
+
"loss": 0.3909,
|
3102 |
+
"step": 3970
|
3103 |
+
},
|
3104 |
+
{
|
3105 |
+
"epoch": 0.95,
|
3106 |
+
"learning_rate": 4.505410398522038e-05,
|
3107 |
+
"loss": 0.356,
|
3108 |
+
"step": 3980
|
3109 |
+
},
|
3110 |
+
{
|
3111 |
+
"epoch": 0.95,
|
3112 |
+
"learning_rate": 4.5027711797308e-05,
|
3113 |
+
"loss": 0.3305,
|
3114 |
+
"step": 3990
|
3115 |
+
},
|
3116 |
+
{
|
3117 |
+
"epoch": 0.95,
|
3118 |
+
"learning_rate": 4.500131960939562e-05,
|
3119 |
+
"loss": 0.3394,
|
3120 |
+
"step": 4000
|
3121 |
+
},
|
3122 |
+
{
|
3123 |
+
"epoch": 0.95,
|
3124 |
+
"eval_accuracy": 0.7981651376146789,
|
3125 |
+
"eval_loss": 0.5128748416900635,
|
3126 |
+
"eval_runtime": 11.5097,
|
3127 |
+
"eval_samples_per_second": 75.762,
|
3128 |
+
"eval_steps_per_second": 4.779,
|
3129 |
+
"step": 4000
|
3130 |
+
}
|
3131 |
+
],
|
3132 |
+
"logging_steps": 10,
|
3133 |
+
"max_steps": 21050,
|
3134 |
+
"num_input_tokens_seen": 0,
|
3135 |
+
"num_train_epochs": 5,
|
3136 |
+
"save_steps": 500,
|
3137 |
+
"total_flos": 1.6839258734592e+16,
|
3138 |
+
"train_batch_size": 16,
|
3139 |
+
"trial_name": null,
|
3140 |
+
"trial_params": null
|
3141 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3bc585ad17bd13281f69216d6547ff6f14216d5477c2b78f12c8d3899f2679b3
|
3 |
+
size 4728
|