theblackcat102
commited on
Commit
•
c5f0c32
1
Parent(s):
7582796
Upload 13 files
Browse files- added_tokens.json +3 -0
- config.json +42 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scaler.pt +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +9 -0
- spm.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +17 -0
- trainer_state.json +2956 -0
- training_args.bin +3 -0
added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"[MASK]": 128000
|
3 |
+
}
|
config.json
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "microsoft/deberta-v3-base",
|
3 |
+
"architectures": [
|
4 |
+
"DebertaV2ForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"hidden_act": "gelu",
|
8 |
+
"hidden_dropout_prob": 0.1,
|
9 |
+
"hidden_size": 768,
|
10 |
+
"id2label": {
|
11 |
+
"0": "REWARD"
|
12 |
+
},
|
13 |
+
"initializer_range": 0.02,
|
14 |
+
"intermediate_size": 3072,
|
15 |
+
"label2id": {
|
16 |
+
"REWARD": 0
|
17 |
+
},
|
18 |
+
"layer_norm_eps": 1e-07,
|
19 |
+
"max_position_embeddings": 512,
|
20 |
+
"max_relative_positions": -1,
|
21 |
+
"model_type": "deberta-v2",
|
22 |
+
"norm_rel_ebd": "layer_norm",
|
23 |
+
"num_attention_heads": 12,
|
24 |
+
"num_hidden_layers": 12,
|
25 |
+
"pad_token_id": 0,
|
26 |
+
"pooler_dropout": 0,
|
27 |
+
"pooler_hidden_act": "gelu",
|
28 |
+
"pooler_hidden_size": 768,
|
29 |
+
"pos_att_type": [
|
30 |
+
"p2c",
|
31 |
+
"c2p"
|
32 |
+
],
|
33 |
+
"position_biased_input": false,
|
34 |
+
"position_buckets": 256,
|
35 |
+
"problem_type": "regression",
|
36 |
+
"relative_attention": true,
|
37 |
+
"share_att_key": true,
|
38 |
+
"torch_dtype": "float32",
|
39 |
+
"transformers_version": "4.25.1",
|
40 |
+
"type_vocab_size": 0,
|
41 |
+
"vocab_size": 128100
|
42 |
+
}
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c51e84122732847167b0a9f8184f3097cc9a26a23cb3292d287d7e432736c480
|
3 |
+
size 1475500313
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:39f57de8c6e51be66e7023367b0b4fa0122b8f4eb481b509e795e7ebfc226865
|
3 |
+
size 737763883
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aea50855e4d0949ea23f93e66d195e6490b97c8de68e1c07fb65d4dba061fdb8
|
3 |
+
size 15587
|
scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2349a271c10b7c9d605f61c613cb980d22d19b8cdd9f5c88d8eab60988c322bc
|
3 |
+
size 559
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ea848812c4d01e9c7b1b400921d7f207693ac100d4c729e572925c6e111b123f
|
3 |
+
size 559
|
special_tokens_map.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "[CLS]",
|
3 |
+
"cls_token": "[CLS]",
|
4 |
+
"eos_token": "[SEP]",
|
5 |
+
"mask_token": "[MASK]",
|
6 |
+
"pad_token": "[PAD]",
|
7 |
+
"sep_token": "[SEP]",
|
8 |
+
"unk_token": "[UNK]"
|
9 |
+
}
|
spm.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
|
3 |
+
size 2464616
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "[CLS]",
|
3 |
+
"cls_token": "[CLS]",
|
4 |
+
"do_lower_case": false,
|
5 |
+
"eos_token": "[SEP]",
|
6 |
+
"mask_token": "[MASK]",
|
7 |
+
"model_max_length": 1000000000000000019884624838656,
|
8 |
+
"name_or_path": "microsoft/deberta-v3-base",
|
9 |
+
"pad_token": "[PAD]",
|
10 |
+
"sep_token": "[SEP]",
|
11 |
+
"sp_model_kwargs": {},
|
12 |
+
"special_tokens_map_file": null,
|
13 |
+
"split_by_punct": false,
|
14 |
+
"tokenizer_class": "DebertaV2Tokenizer",
|
15 |
+
"unk_token": "[UNK]",
|
16 |
+
"vocab_type": "spm"
|
17 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2956 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.9083181542197936,
|
5 |
+
"global_step": 4000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.0,
|
12 |
+
"learning_rate": 1.8e-07,
|
13 |
+
"loss": 0.692,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.01,
|
18 |
+
"learning_rate": 3.8e-07,
|
19 |
+
"loss": 0.6931,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.01,
|
24 |
+
"learning_rate": 5.800000000000001e-07,
|
25 |
+
"loss": 0.6938,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.02,
|
30 |
+
"learning_rate": 7.8e-07,
|
31 |
+
"loss": 0.6928,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.02,
|
36 |
+
"learning_rate": 9.800000000000001e-07,
|
37 |
+
"loss": 0.6936,
|
38 |
+
"step": 50
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.03,
|
42 |
+
"learning_rate": 1.1800000000000001e-06,
|
43 |
+
"loss": 0.6944,
|
44 |
+
"step": 60
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.03,
|
48 |
+
"learning_rate": 1.3800000000000001e-06,
|
49 |
+
"loss": 0.6936,
|
50 |
+
"step": 70
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.04,
|
54 |
+
"learning_rate": 1.5800000000000001e-06,
|
55 |
+
"loss": 0.6926,
|
56 |
+
"step": 80
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.04,
|
60 |
+
"learning_rate": 1.7800000000000001e-06,
|
61 |
+
"loss": 0.6921,
|
62 |
+
"step": 90
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.05,
|
66 |
+
"learning_rate": 1.98e-06,
|
67 |
+
"loss": 0.6921,
|
68 |
+
"step": 100
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.05,
|
72 |
+
"learning_rate": 2.1800000000000003e-06,
|
73 |
+
"loss": 0.6924,
|
74 |
+
"step": 110
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.06,
|
78 |
+
"learning_rate": 2.38e-06,
|
79 |
+
"loss": 0.6924,
|
80 |
+
"step": 120
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.06,
|
84 |
+
"learning_rate": 2.5800000000000003e-06,
|
85 |
+
"loss": 0.6902,
|
86 |
+
"step": 130
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.07,
|
90 |
+
"learning_rate": 2.7800000000000005e-06,
|
91 |
+
"loss": 0.6914,
|
92 |
+
"step": 140
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.07,
|
96 |
+
"learning_rate": 2.9800000000000003e-06,
|
97 |
+
"loss": 0.6907,
|
98 |
+
"step": 150
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.08,
|
102 |
+
"learning_rate": 3.1800000000000005e-06,
|
103 |
+
"loss": 0.6893,
|
104 |
+
"step": 160
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.08,
|
108 |
+
"learning_rate": 3.3800000000000007e-06,
|
109 |
+
"loss": 0.6867,
|
110 |
+
"step": 170
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.09,
|
114 |
+
"learning_rate": 3.58e-06,
|
115 |
+
"loss": 0.683,
|
116 |
+
"step": 180
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.09,
|
120 |
+
"learning_rate": 3.7800000000000002e-06,
|
121 |
+
"loss": 0.677,
|
122 |
+
"step": 190
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.1,
|
126 |
+
"learning_rate": 3.980000000000001e-06,
|
127 |
+
"loss": 0.6627,
|
128 |
+
"step": 200
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.1,
|
132 |
+
"eval_webgpt_accuracy": 0.5160878447395302,
|
133 |
+
"eval_webgpt_loss": 0.69077467918396,
|
134 |
+
"eval_webgpt_runtime": 62.8216,
|
135 |
+
"eval_webgpt_samples_per_second": 62.335,
|
136 |
+
"eval_webgpt_steps_per_second": 6.24,
|
137 |
+
"step": 200
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 0.1,
|
141 |
+
"eval_hfsummary_accuracy": 0.6221624399238279,
|
142 |
+
"eval_hfsummary_loss": 0.6861704587936401,
|
143 |
+
"eval_hfsummary_runtime": 1239.8418,
|
144 |
+
"eval_hfsummary_samples_per_second": 26.683,
|
145 |
+
"eval_hfsummary_steps_per_second": 2.669,
|
146 |
+
"step": 200
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.1,
|
150 |
+
"eval_gptsynthetic_accuracy": 0.9957767722473605,
|
151 |
+
"eval_gptsynthetic_loss": 0.3938244879245758,
|
152 |
+
"eval_gptsynthetic_runtime": 45.6545,
|
153 |
+
"eval_gptsynthetic_samples_per_second": 72.611,
|
154 |
+
"eval_gptsynthetic_steps_per_second": 7.272,
|
155 |
+
"step": 200
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 0.1,
|
159 |
+
"learning_rate": 4.18e-06,
|
160 |
+
"loss": 0.6481,
|
161 |
+
"step": 210
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 0.1,
|
165 |
+
"learning_rate": 4.38e-06,
|
166 |
+
"loss": 0.624,
|
167 |
+
"step": 220
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 0.11,
|
171 |
+
"learning_rate": 4.58e-06,
|
172 |
+
"loss": 0.6219,
|
173 |
+
"step": 230
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 0.11,
|
177 |
+
"learning_rate": 4.78e-06,
|
178 |
+
"loss": 0.6079,
|
179 |
+
"step": 240
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.12,
|
183 |
+
"learning_rate": 4.980000000000001e-06,
|
184 |
+
"loss": 0.5815,
|
185 |
+
"step": 250
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.12,
|
189 |
+
"learning_rate": 5.18e-06,
|
190 |
+
"loss": 0.5714,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.13,
|
195 |
+
"learning_rate": 5.380000000000001e-06,
|
196 |
+
"loss": 0.5904,
|
197 |
+
"step": 270
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 0.13,
|
201 |
+
"learning_rate": 5.580000000000001e-06,
|
202 |
+
"loss": 0.5796,
|
203 |
+
"step": 280
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 0.14,
|
207 |
+
"learning_rate": 5.78e-06,
|
208 |
+
"loss": 0.5649,
|
209 |
+
"step": 290
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 0.14,
|
213 |
+
"learning_rate": 5.98e-06,
|
214 |
+
"loss": 0.581,
|
215 |
+
"step": 300
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 0.15,
|
219 |
+
"learning_rate": 6.18e-06,
|
220 |
+
"loss": 0.5481,
|
221 |
+
"step": 310
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 0.15,
|
225 |
+
"learning_rate": 6.380000000000001e-06,
|
226 |
+
"loss": 0.5839,
|
227 |
+
"step": 320
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.16,
|
231 |
+
"learning_rate": 6.5800000000000005e-06,
|
232 |
+
"loss": 0.5552,
|
233 |
+
"step": 330
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.16,
|
237 |
+
"learning_rate": 6.780000000000001e-06,
|
238 |
+
"loss": 0.5654,
|
239 |
+
"step": 340
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 0.17,
|
243 |
+
"learning_rate": 6.98e-06,
|
244 |
+
"loss": 0.5618,
|
245 |
+
"step": 350
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 0.17,
|
249 |
+
"learning_rate": 7.180000000000001e-06,
|
250 |
+
"loss": 0.5528,
|
251 |
+
"step": 360
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 0.18,
|
255 |
+
"learning_rate": 7.3800000000000005e-06,
|
256 |
+
"loss": 0.5341,
|
257 |
+
"step": 370
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.18,
|
261 |
+
"learning_rate": 7.58e-06,
|
262 |
+
"loss": 0.5458,
|
263 |
+
"step": 380
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 0.19,
|
267 |
+
"learning_rate": 7.78e-06,
|
268 |
+
"loss": 0.5335,
|
269 |
+
"step": 390
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.19,
|
273 |
+
"learning_rate": 7.980000000000002e-06,
|
274 |
+
"loss": 0.5285,
|
275 |
+
"step": 400
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.19,
|
279 |
+
"eval_webgpt_accuracy": 0.5617977528089888,
|
280 |
+
"eval_webgpt_loss": 0.7310989499092102,
|
281 |
+
"eval_webgpt_runtime": 63.0205,
|
282 |
+
"eval_webgpt_samples_per_second": 62.139,
|
283 |
+
"eval_webgpt_steps_per_second": 6.22,
|
284 |
+
"step": 400
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.19,
|
288 |
+
"eval_hfsummary_accuracy": 0.6381525254662516,
|
289 |
+
"eval_hfsummary_loss": 0.6372680068016052,
|
290 |
+
"eval_hfsummary_runtime": 1238.3216,
|
291 |
+
"eval_hfsummary_samples_per_second": 26.716,
|
292 |
+
"eval_hfsummary_steps_per_second": 2.672,
|
293 |
+
"step": 400
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 0.19,
|
297 |
+
"eval_gptsynthetic_accuracy": 0.9981900452488688,
|
298 |
+
"eval_gptsynthetic_loss": 0.026522908359766006,
|
299 |
+
"eval_gptsynthetic_runtime": 45.6333,
|
300 |
+
"eval_gptsynthetic_samples_per_second": 72.644,
|
301 |
+
"eval_gptsynthetic_steps_per_second": 7.275,
|
302 |
+
"step": 400
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.2,
|
306 |
+
"learning_rate": 8.18e-06,
|
307 |
+
"loss": 0.5663,
|
308 |
+
"step": 410
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.2,
|
312 |
+
"learning_rate": 8.380000000000001e-06,
|
313 |
+
"loss": 0.55,
|
314 |
+
"step": 420
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.21,
|
318 |
+
"learning_rate": 8.580000000000001e-06,
|
319 |
+
"loss": 0.5465,
|
320 |
+
"step": 430
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.21,
|
324 |
+
"learning_rate": 8.78e-06,
|
325 |
+
"loss": 0.5409,
|
326 |
+
"step": 440
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.21,
|
330 |
+
"learning_rate": 8.98e-06,
|
331 |
+
"loss": 0.5496,
|
332 |
+
"step": 450
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.22,
|
336 |
+
"learning_rate": 9.180000000000002e-06,
|
337 |
+
"loss": 0.5334,
|
338 |
+
"step": 460
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.22,
|
342 |
+
"learning_rate": 9.38e-06,
|
343 |
+
"loss": 0.5108,
|
344 |
+
"step": 470
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.23,
|
348 |
+
"learning_rate": 9.58e-06,
|
349 |
+
"loss": 0.5306,
|
350 |
+
"step": 480
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 0.23,
|
354 |
+
"learning_rate": 9.780000000000001e-06,
|
355 |
+
"loss": 0.5379,
|
356 |
+
"step": 490
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 0.24,
|
360 |
+
"learning_rate": 9.980000000000001e-06,
|
361 |
+
"loss": 0.5288,
|
362 |
+
"step": 500
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.24,
|
366 |
+
"learning_rate": 9.999967852222371e-06,
|
367 |
+
"loss": 0.5362,
|
368 |
+
"step": 510
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.25,
|
372 |
+
"learning_rate": 9.999856724632902e-06,
|
373 |
+
"loss": 0.5245,
|
374 |
+
"step": 520
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.25,
|
378 |
+
"learning_rate": 9.99966622210923e-06,
|
379 |
+
"loss": 0.5424,
|
380 |
+
"step": 530
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.26,
|
384 |
+
"learning_rate": 9.999396347675668e-06,
|
385 |
+
"loss": 0.5161,
|
386 |
+
"step": 540
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 0.26,
|
390 |
+
"learning_rate": 9.99904710561659e-06,
|
391 |
+
"loss": 0.5295,
|
392 |
+
"step": 550
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.27,
|
396 |
+
"learning_rate": 9.998618501476367e-06,
|
397 |
+
"loss": 0.5049,
|
398 |
+
"step": 560
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.27,
|
402 |
+
"learning_rate": 9.998110542059283e-06,
|
403 |
+
"loss": 0.5136,
|
404 |
+
"step": 570
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.28,
|
408 |
+
"learning_rate": 9.997523235429414e-06,
|
409 |
+
"loss": 0.5059,
|
410 |
+
"step": 580
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.28,
|
414 |
+
"learning_rate": 9.996856590910513e-06,
|
415 |
+
"loss": 0.5268,
|
416 |
+
"step": 590
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.29,
|
420 |
+
"learning_rate": 9.996110619085859e-06,
|
421 |
+
"loss": 0.515,
|
422 |
+
"step": 600
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.29,
|
426 |
+
"eval_webgpt_accuracy": 0.5640960163432074,
|
427 |
+
"eval_webgpt_loss": 0.7018715143203735,
|
428 |
+
"eval_webgpt_runtime": 63.203,
|
429 |
+
"eval_webgpt_samples_per_second": 61.959,
|
430 |
+
"eval_webgpt_steps_per_second": 6.202,
|
431 |
+
"step": 600
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.29,
|
435 |
+
"eval_hfsummary_accuracy": 0.6488831121724148,
|
436 |
+
"eval_hfsummary_loss": 0.6238470077514648,
|
437 |
+
"eval_hfsummary_runtime": 1239.6473,
|
438 |
+
"eval_hfsummary_samples_per_second": 26.687,
|
439 |
+
"eval_hfsummary_steps_per_second": 2.669,
|
440 |
+
"step": 600
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 0.29,
|
444 |
+
"eval_gptsynthetic_accuracy": 0.9978883861236802,
|
445 |
+
"eval_gptsynthetic_loss": 0.031191527843475342,
|
446 |
+
"eval_gptsynthetic_runtime": 45.7943,
|
447 |
+
"eval_gptsynthetic_samples_per_second": 72.389,
|
448 |
+
"eval_gptsynthetic_steps_per_second": 7.25,
|
449 |
+
"step": 600
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 0.29,
|
453 |
+
"learning_rate": 9.995285331798082e-06,
|
454 |
+
"loss": 0.4913,
|
455 |
+
"step": 610
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 0.3,
|
459 |
+
"learning_rate": 9.994380742148981e-06,
|
460 |
+
"loss": 0.4957,
|
461 |
+
"step": 620
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 0.3,
|
465 |
+
"learning_rate": 9.993396864499321e-06,
|
466 |
+
"loss": 0.5041,
|
467 |
+
"step": 630
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 0.31,
|
471 |
+
"learning_rate": 9.992333714468589e-06,
|
472 |
+
"loss": 0.5204,
|
473 |
+
"step": 640
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.31,
|
477 |
+
"learning_rate": 9.991191308934765e-06,
|
478 |
+
"loss": 0.4964,
|
479 |
+
"step": 650
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.31,
|
483 |
+
"learning_rate": 9.989969666034039e-06,
|
484 |
+
"loss": 0.5054,
|
485 |
+
"step": 660
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.32,
|
489 |
+
"learning_rate": 9.988668805160533e-06,
|
490 |
+
"loss": 0.5156,
|
491 |
+
"step": 670
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 0.32,
|
495 |
+
"learning_rate": 9.987288746965987e-06,
|
496 |
+
"loss": 0.4875,
|
497 |
+
"step": 680
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 0.33,
|
501 |
+
"learning_rate": 9.985829513359437e-06,
|
502 |
+
"loss": 0.5002,
|
503 |
+
"step": 690
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 0.33,
|
507 |
+
"learning_rate": 9.984291127506857e-06,
|
508 |
+
"loss": 0.5103,
|
509 |
+
"step": 700
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 0.34,
|
513 |
+
"learning_rate": 9.982673613830807e-06,
|
514 |
+
"loss": 0.488,
|
515 |
+
"step": 710
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 0.34,
|
519 |
+
"learning_rate": 9.980976998010028e-06,
|
520 |
+
"loss": 0.5091,
|
521 |
+
"step": 720
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.35,
|
525 |
+
"learning_rate": 9.979201306979047e-06,
|
526 |
+
"loss": 0.5008,
|
527 |
+
"step": 730
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.35,
|
531 |
+
"learning_rate": 9.977346568927742e-06,
|
532 |
+
"loss": 0.4933,
|
533 |
+
"step": 740
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 0.36,
|
537 |
+
"learning_rate": 9.9754128133009e-06,
|
538 |
+
"loss": 0.5208,
|
539 |
+
"step": 750
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 0.36,
|
543 |
+
"learning_rate": 9.973400070797745e-06,
|
544 |
+
"loss": 0.5036,
|
545 |
+
"step": 760
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 0.37,
|
549 |
+
"learning_rate": 9.971308373371453e-06,
|
550 |
+
"loss": 0.4935,
|
551 |
+
"step": 770
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 0.37,
|
555 |
+
"learning_rate": 9.969137754228648e-06,
|
556 |
+
"loss": 0.5026,
|
557 |
+
"step": 780
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 0.38,
|
561 |
+
"learning_rate": 9.966888247828864e-06,
|
562 |
+
"loss": 0.5047,
|
563 |
+
"step": 790
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.38,
|
567 |
+
"learning_rate": 9.964559889884011e-06,
|
568 |
+
"loss": 0.4785,
|
569 |
+
"step": 800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.38,
|
573 |
+
"eval_webgpt_accuracy": 0.5684371807967313,
|
574 |
+
"eval_webgpt_loss": 0.6995264887809753,
|
575 |
+
"eval_webgpt_runtime": 63.093,
|
576 |
+
"eval_webgpt_samples_per_second": 62.067,
|
577 |
+
"eval_webgpt_steps_per_second": 6.213,
|
578 |
+
"step": 800
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.38,
|
582 |
+
"eval_hfsummary_accuracy": 0.6444397424659191,
|
583 |
+
"eval_hfsummary_loss": 0.6311432719230652,
|
584 |
+
"eval_hfsummary_runtime": 1241.3962,
|
585 |
+
"eval_hfsummary_samples_per_second": 26.65,
|
586 |
+
"eval_hfsummary_steps_per_second": 2.666,
|
587 |
+
"step": 800
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 0.38,
|
591 |
+
"eval_gptsynthetic_accuracy": 0.9978883861236802,
|
592 |
+
"eval_gptsynthetic_loss": 0.016028160229325294,
|
593 |
+
"eval_gptsynthetic_runtime": 45.7378,
|
594 |
+
"eval_gptsynthetic_samples_per_second": 72.478,
|
595 |
+
"eval_gptsynthetic_steps_per_second": 7.259,
|
596 |
+
"step": 800
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 0.39,
|
600 |
+
"learning_rate": 9.962152717357796e-06,
|
601 |
+
"loss": 0.4752,
|
602 |
+
"step": 810
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 0.39,
|
606 |
+
"learning_rate": 9.959666768465153e-06,
|
607 |
+
"loss": 0.4657,
|
608 |
+
"step": 820
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 0.4,
|
612 |
+
"learning_rate": 9.957102082671612e-06,
|
613 |
+
"loss": 0.4935,
|
614 |
+
"step": 830
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 0.4,
|
618 |
+
"learning_rate": 9.954458700692699e-06,
|
619 |
+
"loss": 0.4821,
|
620 |
+
"step": 840
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 0.41,
|
624 |
+
"learning_rate": 9.951736664493266e-06,
|
625 |
+
"loss": 0.4949,
|
626 |
+
"step": 850
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.41,
|
630 |
+
"learning_rate": 9.948936017286844e-06,
|
631 |
+
"loss": 0.4894,
|
632 |
+
"step": 860
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.42,
|
636 |
+
"learning_rate": 9.94605680353494e-06,
|
637 |
+
"loss": 0.5032,
|
638 |
+
"step": 870
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 0.42,
|
642 |
+
"learning_rate": 9.943099068946348e-06,
|
643 |
+
"loss": 0.4724,
|
644 |
+
"step": 880
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 0.42,
|
648 |
+
"learning_rate": 9.940062860476406e-06,
|
649 |
+
"loss": 0.4871,
|
650 |
+
"step": 890
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 0.43,
|
654 |
+
"learning_rate": 9.936948226326273e-06,
|
655 |
+
"loss": 0.4919,
|
656 |
+
"step": 900
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 0.43,
|
660 |
+
"learning_rate": 9.933755215942137e-06,
|
661 |
+
"loss": 0.4763,
|
662 |
+
"step": 910
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 0.44,
|
666 |
+
"learning_rate": 9.930483880014448e-06,
|
667 |
+
"loss": 0.4928,
|
668 |
+
"step": 920
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.44,
|
672 |
+
"learning_rate": 9.92713427047711e-06,
|
673 |
+
"loss": 0.4608,
|
674 |
+
"step": 930
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.45,
|
678 |
+
"learning_rate": 9.923706440506654e-06,
|
679 |
+
"loss": 0.491,
|
680 |
+
"step": 940
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 0.45,
|
684 |
+
"learning_rate": 9.920200444521395e-06,
|
685 |
+
"loss": 0.4624,
|
686 |
+
"step": 950
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 0.46,
|
690 |
+
"learning_rate": 9.916616338180569e-06,
|
691 |
+
"loss": 0.5028,
|
692 |
+
"step": 960
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 0.46,
|
696 |
+
"learning_rate": 9.912954178383445e-06,
|
697 |
+
"loss": 0.4814,
|
698 |
+
"step": 970
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 0.47,
|
702 |
+
"learning_rate": 9.90921402326843e-06,
|
703 |
+
"loss": 0.4901,
|
704 |
+
"step": 980
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 0.47,
|
708 |
+
"learning_rate": 9.905395932212139e-06,
|
709 |
+
"loss": 0.459,
|
710 |
+
"step": 990
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 0.48,
|
714 |
+
"learning_rate": 9.901499965828451e-06,
|
715 |
+
"loss": 0.4624,
|
716 |
+
"step": 1000
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.48,
|
720 |
+
"eval_webgpt_accuracy": 0.5661389172625128,
|
721 |
+
"eval_webgpt_loss": 0.6934247016906738,
|
722 |
+
"eval_webgpt_runtime": 63.1076,
|
723 |
+
"eval_webgpt_samples_per_second": 62.053,
|
724 |
+
"eval_webgpt_steps_per_second": 6.212,
|
725 |
+
"step": 1000
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 0.48,
|
729 |
+
"eval_hfsummary_accuracy": 0.6628177613880241,
|
730 |
+
"eval_hfsummary_loss": 0.6276853680610657,
|
731 |
+
"eval_hfsummary_runtime": 1241.5998,
|
732 |
+
"eval_hfsummary_samples_per_second": 26.645,
|
733 |
+
"eval_hfsummary_steps_per_second": 2.665,
|
734 |
+
"step": 1000
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 0.48,
|
738 |
+
"eval_gptsynthetic_accuracy": 0.9975867269984917,
|
739 |
+
"eval_gptsynthetic_loss": 0.015120746567845345,
|
740 |
+
"eval_gptsynthetic_runtime": 45.6555,
|
741 |
+
"eval_gptsynthetic_samples_per_second": 72.609,
|
742 |
+
"eval_gptsynthetic_steps_per_second": 7.272,
|
743 |
+
"step": 1000
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 0.48,
|
747 |
+
"learning_rate": 9.897526185967557e-06,
|
748 |
+
"loss": 0.4729,
|
749 |
+
"step": 1010
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 0.49,
|
753 |
+
"learning_rate": 9.893474655714962e-06,
|
754 |
+
"loss": 0.4767,
|
755 |
+
"step": 1020
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 0.49,
|
759 |
+
"learning_rate": 9.889345439390508e-06,
|
760 |
+
"loss": 0.4737,
|
761 |
+
"step": 1030
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 0.5,
|
765 |
+
"learning_rate": 9.88513860254732e-06,
|
766 |
+
"loss": 0.4795,
|
767 |
+
"step": 1040
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 0.5,
|
771 |
+
"learning_rate": 9.880854211970794e-06,
|
772 |
+
"loss": 0.4674,
|
773 |
+
"step": 1050
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 0.51,
|
777 |
+
"learning_rate": 9.876492335677523e-06,
|
778 |
+
"loss": 0.4605,
|
779 |
+
"step": 1060
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.51,
|
783 |
+
"learning_rate": 9.872053042914223e-06,
|
784 |
+
"loss": 0.4347,
|
785 |
+
"step": 1070
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 0.52,
|
789 |
+
"learning_rate": 9.867536404156621e-06,
|
790 |
+
"loss": 0.4614,
|
791 |
+
"step": 1080
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 0.52,
|
795 |
+
"learning_rate": 9.862942491108358e-06,
|
796 |
+
"loss": 0.4849,
|
797 |
+
"step": 1090
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"epoch": 0.52,
|
801 |
+
"learning_rate": 9.858271376699832e-06,
|
802 |
+
"loss": 0.4715,
|
803 |
+
"step": 1100
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 0.53,
|
807 |
+
"learning_rate": 9.853523135087047e-06,
|
808 |
+
"loss": 0.4768,
|
809 |
+
"step": 1110
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 0.53,
|
813 |
+
"learning_rate": 9.848697841650435e-06,
|
814 |
+
"loss": 0.4686,
|
815 |
+
"step": 1120
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 0.54,
|
819 |
+
"learning_rate": 9.843795572993664e-06,
|
820 |
+
"loss": 0.4521,
|
821 |
+
"step": 1130
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.54,
|
825 |
+
"learning_rate": 9.83881640694241e-06,
|
826 |
+
"loss": 0.4765,
|
827 |
+
"step": 1140
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 0.55,
|
831 |
+
"learning_rate": 9.833760422543137e-06,
|
832 |
+
"loss": 0.4829,
|
833 |
+
"step": 1150
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 0.55,
|
837 |
+
"learning_rate": 9.828627700061833e-06,
|
838 |
+
"loss": 0.4587,
|
839 |
+
"step": 1160
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 0.56,
|
843 |
+
"learning_rate": 9.82341832098273e-06,
|
844 |
+
"loss": 0.4684,
|
845 |
+
"step": 1170
|
846 |
+
},
|
847 |
+
{
|
848 |
+
"epoch": 0.56,
|
849 |
+
"learning_rate": 9.818132368007022e-06,
|
850 |
+
"loss": 0.4443,
|
851 |
+
"step": 1180
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 0.57,
|
855 |
+
"learning_rate": 9.812769925051553e-06,
|
856 |
+
"loss": 0.4898,
|
857 |
+
"step": 1190
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 0.57,
|
861 |
+
"learning_rate": 9.807331077247468e-06,
|
862 |
+
"loss": 0.44,
|
863 |
+
"step": 1200
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.57,
|
867 |
+
"eval_webgpt_accuracy": 0.5605209397344229,
|
868 |
+
"eval_webgpt_loss": 0.6905099749565125,
|
869 |
+
"eval_webgpt_runtime": 63.2036,
|
870 |
+
"eval_webgpt_samples_per_second": 61.959,
|
871 |
+
"eval_webgpt_steps_per_second": 6.202,
|
872 |
+
"step": 1200
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 0.57,
|
876 |
+
"eval_hfsummary_accuracy": 0.664419792642747,
|
877 |
+
"eval_hfsummary_loss": 0.6330422163009644,
|
878 |
+
"eval_hfsummary_runtime": 1242.5416,
|
879 |
+
"eval_hfsummary_samples_per_second": 26.625,
|
880 |
+
"eval_hfsummary_steps_per_second": 2.663,
|
881 |
+
"step": 1200
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 0.57,
|
885 |
+
"eval_gptsynthetic_accuracy": 0.9981900452488688,
|
886 |
+
"eval_gptsynthetic_loss": 0.011154625564813614,
|
887 |
+
"eval_gptsynthetic_runtime": 45.6845,
|
888 |
+
"eval_gptsynthetic_samples_per_second": 72.563,
|
889 |
+
"eval_gptsynthetic_steps_per_second": 7.267,
|
890 |
+
"step": 1200
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 0.58,
|
894 |
+
"learning_rate": 9.80181591093888e-06,
|
895 |
+
"loss": 0.4648,
|
896 |
+
"step": 1210
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 0.58,
|
900 |
+
"learning_rate": 9.796224513681495e-06,
|
901 |
+
"loss": 0.4483,
|
902 |
+
"step": 1220
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 0.59,
|
906 |
+
"learning_rate": 9.79055697424121e-06,
|
907 |
+
"loss": 0.4707,
|
908 |
+
"step": 1230
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 0.59,
|
912 |
+
"learning_rate": 9.784813382592716e-06,
|
913 |
+
"loss": 0.4638,
|
914 |
+
"step": 1240
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 0.6,
|
918 |
+
"learning_rate": 9.77899382991807e-06,
|
919 |
+
"loss": 0.4366,
|
920 |
+
"step": 1250
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 0.6,
|
924 |
+
"learning_rate": 9.773098408605242e-06,
|
925 |
+
"loss": 0.4457,
|
926 |
+
"step": 1260
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.61,
|
930 |
+
"learning_rate": 9.76712721224665e-06,
|
931 |
+
"loss": 0.4363,
|
932 |
+
"step": 1270
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 0.61,
|
936 |
+
"learning_rate": 9.761080335637672e-06,
|
937 |
+
"loss": 0.4577,
|
938 |
+
"step": 1280
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 0.62,
|
942 |
+
"learning_rate": 9.754957874775146e-06,
|
943 |
+
"loss": 0.4538,
|
944 |
+
"step": 1290
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 0.62,
|
948 |
+
"learning_rate": 9.748759926855845e-06,
|
949 |
+
"loss": 0.4499,
|
950 |
+
"step": 1300
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 0.62,
|
954 |
+
"learning_rate": 9.742486590274927e-06,
|
955 |
+
"loss": 0.4466,
|
956 |
+
"step": 1310
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 0.63,
|
960 |
+
"learning_rate": 9.736137964624381e-06,
|
961 |
+
"loss": 0.4459,
|
962 |
+
"step": 1320
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 0.63,
|
966 |
+
"learning_rate": 9.729714150691448e-06,
|
967 |
+
"loss": 0.4544,
|
968 |
+
"step": 1330
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.64,
|
972 |
+
"learning_rate": 9.723215250457009e-06,
|
973 |
+
"loss": 0.4453,
|
974 |
+
"step": 1340
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 0.64,
|
978 |
+
"learning_rate": 9.716641367093976e-06,
|
979 |
+
"loss": 0.4614,
|
980 |
+
"step": 1350
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 0.65,
|
984 |
+
"learning_rate": 9.709992604965652e-06,
|
985 |
+
"loss": 0.4863,
|
986 |
+
"step": 1360
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 0.65,
|
990 |
+
"learning_rate": 9.703269069624075e-06,
|
991 |
+
"loss": 0.4432,
|
992 |
+
"step": 1370
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 0.66,
|
996 |
+
"learning_rate": 9.696470867808333e-06,
|
997 |
+
"loss": 0.438,
|
998 |
+
"step": 1380
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 0.66,
|
1002 |
+
"learning_rate": 9.68959810744289e-06,
|
1003 |
+
"loss": 0.4593,
|
1004 |
+
"step": 1390
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 0.67,
|
1008 |
+
"learning_rate": 9.682650897635845e-06,
|
1009 |
+
"loss": 0.4463,
|
1010 |
+
"step": 1400
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.67,
|
1014 |
+
"eval_webgpt_accuracy": 0.5617977528089888,
|
1015 |
+
"eval_webgpt_loss": 0.6875464916229248,
|
1016 |
+
"eval_webgpt_runtime": 63.2336,
|
1017 |
+
"eval_webgpt_samples_per_second": 61.929,
|
1018 |
+
"eval_webgpt_steps_per_second": 6.199,
|
1019 |
+
"step": 1400
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 0.67,
|
1023 |
+
"eval_hfsummary_accuracy": 0.6741528881903093,
|
1024 |
+
"eval_hfsummary_loss": 0.6355233788490295,
|
1025 |
+
"eval_hfsummary_runtime": 1241.0977,
|
1026 |
+
"eval_hfsummary_samples_per_second": 26.656,
|
1027 |
+
"eval_hfsummary_steps_per_second": 2.666,
|
1028 |
+
"step": 1400
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 0.67,
|
1032 |
+
"eval_gptsynthetic_accuracy": 0.9975867269984917,
|
1033 |
+
"eval_gptsynthetic_loss": 0.010252352803945541,
|
1034 |
+
"eval_gptsynthetic_runtime": 45.7898,
|
1035 |
+
"eval_gptsynthetic_samples_per_second": 72.396,
|
1036 |
+
"eval_gptsynthetic_steps_per_second": 7.251,
|
1037 |
+
"step": 1400
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 0.67,
|
1041 |
+
"learning_rate": 9.675629348677232e-06,
|
1042 |
+
"loss": 0.4454,
|
1043 |
+
"step": 1410
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 0.68,
|
1047 |
+
"learning_rate": 9.668533572037236e-06,
|
1048 |
+
"loss": 0.4444,
|
1049 |
+
"step": 1420
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 0.68,
|
1053 |
+
"learning_rate": 9.661363680364445e-06,
|
1054 |
+
"loss": 0.4622,
|
1055 |
+
"step": 1430
|
1056 |
+
},
|
1057 |
+
{
|
1058 |
+
"epoch": 0.69,
|
1059 |
+
"learning_rate": 9.65411978748406e-06,
|
1060 |
+
"loss": 0.4591,
|
1061 |
+
"step": 1440
|
1062 |
+
},
|
1063 |
+
{
|
1064 |
+
"epoch": 0.69,
|
1065 |
+
"learning_rate": 9.64680200839608e-06,
|
1066 |
+
"loss": 0.4462,
|
1067 |
+
"step": 1450
|
1068 |
+
},
|
1069 |
+
{
|
1070 |
+
"epoch": 0.7,
|
1071 |
+
"learning_rate": 9.63941045927348e-06,
|
1072 |
+
"loss": 0.4423,
|
1073 |
+
"step": 1460
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.7,
|
1077 |
+
"learning_rate": 9.631945257460369e-06,
|
1078 |
+
"loss": 0.4302,
|
1079 |
+
"step": 1470
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 0.71,
|
1083 |
+
"learning_rate": 9.62440652147012e-06,
|
1084 |
+
"loss": 0.4668,
|
1085 |
+
"step": 1480
|
1086 |
+
},
|
1087 |
+
{
|
1088 |
+
"epoch": 0.71,
|
1089 |
+
"learning_rate": 9.616794370983498e-06,
|
1090 |
+
"loss": 0.4252,
|
1091 |
+
"step": 1490
|
1092 |
+
},
|
1093 |
+
{
|
1094 |
+
"epoch": 0.72,
|
1095 |
+
"learning_rate": 9.609108926846759e-06,
|
1096 |
+
"loss": 0.4563,
|
1097 |
+
"step": 1500
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 0.72,
|
1101 |
+
"learning_rate": 9.60135031106972e-06,
|
1102 |
+
"loss": 0.4396,
|
1103 |
+
"step": 1510
|
1104 |
+
},
|
1105 |
+
{
|
1106 |
+
"epoch": 0.73,
|
1107 |
+
"learning_rate": 9.593518646823833e-06,
|
1108 |
+
"loss": 0.463,
|
1109 |
+
"step": 1520
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 0.73,
|
1113 |
+
"learning_rate": 9.58561405844023e-06,
|
1114 |
+
"loss": 0.4292,
|
1115 |
+
"step": 1530
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.73,
|
1119 |
+
"learning_rate": 9.577636671407743e-06,
|
1120 |
+
"loss": 0.4669,
|
1121 |
+
"step": 1540
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 0.74,
|
1125 |
+
"learning_rate": 9.569586612370913e-06,
|
1126 |
+
"loss": 0.4648,
|
1127 |
+
"step": 1550
|
1128 |
+
},
|
1129 |
+
{
|
1130 |
+
"epoch": 0.74,
|
1131 |
+
"learning_rate": 9.561464009127988e-06,
|
1132 |
+
"loss": 0.4318,
|
1133 |
+
"step": 1560
|
1134 |
+
},
|
1135 |
+
{
|
1136 |
+
"epoch": 0.75,
|
1137 |
+
"learning_rate": 9.553268990628877e-06,
|
1138 |
+
"loss": 0.4274,
|
1139 |
+
"step": 1570
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 0.75,
|
1143 |
+
"learning_rate": 9.545001686973123e-06,
|
1144 |
+
"loss": 0.4532,
|
1145 |
+
"step": 1580
|
1146 |
+
},
|
1147 |
+
{
|
1148 |
+
"epoch": 0.76,
|
1149 |
+
"learning_rate": 9.53666222940782e-06,
|
1150 |
+
"loss": 0.4476,
|
1151 |
+
"step": 1590
|
1152 |
+
},
|
1153 |
+
{
|
1154 |
+
"epoch": 0.76,
|
1155 |
+
"learning_rate": 9.528250750325545e-06,
|
1156 |
+
"loss": 0.4477,
|
1157 |
+
"step": 1600
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.76,
|
1161 |
+
"eval_webgpt_accuracy": 0.5801838610827375,
|
1162 |
+
"eval_webgpt_loss": 0.6804662346839905,
|
1163 |
+
"eval_webgpt_runtime": 63.2449,
|
1164 |
+
"eval_webgpt_samples_per_second": 61.918,
|
1165 |
+
"eval_webgpt_steps_per_second": 6.198,
|
1166 |
+
"step": 1600
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 0.76,
|
1170 |
+
"eval_hfsummary_accuracy": 0.6604298280083426,
|
1171 |
+
"eval_hfsummary_loss": 0.6250379085540771,
|
1172 |
+
"eval_hfsummary_runtime": 1240.5251,
|
1173 |
+
"eval_hfsummary_samples_per_second": 26.669,
|
1174 |
+
"eval_hfsummary_steps_per_second": 2.667,
|
1175 |
+
"step": 1600
|
1176 |
+
},
|
1177 |
+
{
|
1178 |
+
"epoch": 0.76,
|
1179 |
+
"eval_gptsynthetic_accuracy": 0.9975867269984917,
|
1180 |
+
"eval_gptsynthetic_loss": 0.01225399598479271,
|
1181 |
+
"eval_gptsynthetic_runtime": 45.6829,
|
1182 |
+
"eval_gptsynthetic_samples_per_second": 72.565,
|
1183 |
+
"eval_gptsynthetic_steps_per_second": 7.267,
|
1184 |
+
"step": 1600
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 0.77,
|
1188 |
+
"learning_rate": 9.519767383262244e-06,
|
1189 |
+
"loss": 0.4265,
|
1190 |
+
"step": 1610
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 0.77,
|
1194 |
+
"learning_rate": 9.511212262895113e-06,
|
1195 |
+
"loss": 0.4509,
|
1196 |
+
"step": 1620
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 0.78,
|
1200 |
+
"learning_rate": 9.502585525040469e-06,
|
1201 |
+
"loss": 0.4159,
|
1202 |
+
"step": 1630
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 0.78,
|
1206 |
+
"learning_rate": 9.493887306651585e-06,
|
1207 |
+
"loss": 0.4241,
|
1208 |
+
"step": 1640
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 0.79,
|
1212 |
+
"learning_rate": 9.485117745816523e-06,
|
1213 |
+
"loss": 0.4186,
|
1214 |
+
"step": 1650
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 0.79,
|
1218 |
+
"learning_rate": 9.476276981755933e-06,
|
1219 |
+
"loss": 0.4334,
|
1220 |
+
"step": 1660
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.8,
|
1224 |
+
"learning_rate": 9.467365154820853e-06,
|
1225 |
+
"loss": 0.4508,
|
1226 |
+
"step": 1670
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 0.8,
|
1230 |
+
"learning_rate": 9.45838240649047e-06,
|
1231 |
+
"loss": 0.4227,
|
1232 |
+
"step": 1680
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 0.81,
|
1236 |
+
"learning_rate": 9.44932887936988e-06,
|
1237 |
+
"loss": 0.4391,
|
1238 |
+
"step": 1690
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 0.81,
|
1242 |
+
"learning_rate": 9.440204717187829e-06,
|
1243 |
+
"loss": 0.4461,
|
1244 |
+
"step": 1700
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 0.82,
|
1248 |
+
"learning_rate": 9.43101006479442e-06,
|
1249 |
+
"loss": 0.4334,
|
1250 |
+
"step": 1710
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 0.82,
|
1254 |
+
"learning_rate": 9.421745068158823e-06,
|
1255 |
+
"loss": 0.4095,
|
1256 |
+
"step": 1720
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 0.83,
|
1260 |
+
"learning_rate": 9.41240987436695e-06,
|
1261 |
+
"loss": 0.4629,
|
1262 |
+
"step": 1730
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.83,
|
1266 |
+
"learning_rate": 9.40300463161913e-06,
|
1267 |
+
"loss": 0.433,
|
1268 |
+
"step": 1740
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 0.83,
|
1272 |
+
"learning_rate": 9.393529489227745e-06,
|
1273 |
+
"loss": 0.4323,
|
1274 |
+
"step": 1750
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 0.84,
|
1278 |
+
"learning_rate": 9.383984597614867e-06,
|
1279 |
+
"loss": 0.4339,
|
1280 |
+
"step": 1760
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 0.84,
|
1284 |
+
"learning_rate": 9.374370108309862e-06,
|
1285 |
+
"loss": 0.4263,
|
1286 |
+
"step": 1770
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 0.85,
|
1290 |
+
"learning_rate": 9.364686173947e-06,
|
1291 |
+
"loss": 0.4095,
|
1292 |
+
"step": 1780
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 0.85,
|
1296 |
+
"learning_rate": 9.354932948263014e-06,
|
1297 |
+
"loss": 0.4284,
|
1298 |
+
"step": 1790
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 0.86,
|
1302 |
+
"learning_rate": 9.345110586094672e-06,
|
1303 |
+
"loss": 0.4398,
|
1304 |
+
"step": 1800
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.86,
|
1308 |
+
"eval_webgpt_accuracy": 0.5873340143003064,
|
1309 |
+
"eval_webgpt_loss": 0.6802140474319458,
|
1310 |
+
"eval_webgpt_runtime": 63.2638,
|
1311 |
+
"eval_webgpt_samples_per_second": 61.9,
|
1312 |
+
"eval_webgpt_steps_per_second": 6.196,
|
1313 |
+
"step": 1800
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"epoch": 0.86,
|
1317 |
+
"eval_hfsummary_accuracy": 0.6609739140948523,
|
1318 |
+
"eval_hfsummary_loss": 0.6455074548721313,
|
1319 |
+
"eval_hfsummary_runtime": 1241.9993,
|
1320 |
+
"eval_hfsummary_samples_per_second": 26.637,
|
1321 |
+
"eval_hfsummary_steps_per_second": 2.664,
|
1322 |
+
"step": 1800
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 0.86,
|
1326 |
+
"eval_gptsynthetic_accuracy": 0.9975867269984917,
|
1327 |
+
"eval_gptsynthetic_loss": 0.007792285177856684,
|
1328 |
+
"eval_gptsynthetic_runtime": 45.7802,
|
1329 |
+
"eval_gptsynthetic_samples_per_second": 72.411,
|
1330 |
+
"eval_gptsynthetic_steps_per_second": 7.252,
|
1331 |
+
"step": 1800
|
1332 |
+
},
|
1333 |
+
{
|
1334 |
+
"epoch": 0.86,
|
1335 |
+
"learning_rate": 9.335219243376313e-06,
|
1336 |
+
"loss": 0.4483,
|
1337 |
+
"step": 1810
|
1338 |
+
},
|
1339 |
+
{
|
1340 |
+
"epoch": 0.87,
|
1341 |
+
"learning_rate": 9.325259077137371e-06,
|
1342 |
+
"loss": 0.4317,
|
1343 |
+
"step": 1820
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 0.87,
|
1347 |
+
"learning_rate": 9.315230245499886e-06,
|
1348 |
+
"loss": 0.4285,
|
1349 |
+
"step": 1830
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 0.88,
|
1353 |
+
"learning_rate": 9.305132907675987e-06,
|
1354 |
+
"loss": 0.4044,
|
1355 |
+
"step": 1840
|
1356 |
+
},
|
1357 |
+
{
|
1358 |
+
"epoch": 0.88,
|
1359 |
+
"learning_rate": 9.294967223965377e-06,
|
1360 |
+
"loss": 0.4418,
|
1361 |
+
"step": 1850
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 0.89,
|
1365 |
+
"learning_rate": 9.284733355752775e-06,
|
1366 |
+
"loss": 0.4336,
|
1367 |
+
"step": 1860
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.89,
|
1371 |
+
"learning_rate": 9.274431465505357e-06,
|
1372 |
+
"loss": 0.4481,
|
1373 |
+
"step": 1870
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 0.9,
|
1377 |
+
"learning_rate": 9.264061716770183e-06,
|
1378 |
+
"loss": 0.4294,
|
1379 |
+
"step": 1880
|
1380 |
+
},
|
1381 |
+
{
|
1382 |
+
"epoch": 0.9,
|
1383 |
+
"learning_rate": 9.253624274171595e-06,
|
1384 |
+
"loss": 0.4442,
|
1385 |
+
"step": 1890
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 0.91,
|
1389 |
+
"learning_rate": 9.243119303408606e-06,
|
1390 |
+
"loss": 0.4618,
|
1391 |
+
"step": 1900
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 0.91,
|
1395 |
+
"learning_rate": 9.232546971252265e-06,
|
1396 |
+
"loss": 0.4286,
|
1397 |
+
"step": 1910
|
1398 |
+
},
|
1399 |
+
{
|
1400 |
+
"epoch": 0.92,
|
1401 |
+
"learning_rate": 9.22190744554302e-06,
|
1402 |
+
"loss": 0.4247,
|
1403 |
+
"step": 1920
|
1404 |
+
},
|
1405 |
+
{
|
1406 |
+
"epoch": 0.92,
|
1407 |
+
"learning_rate": 9.211200895188035e-06,
|
1408 |
+
"loss": 0.4145,
|
1409 |
+
"step": 1930
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.93,
|
1413 |
+
"learning_rate": 9.200427490158532e-06,
|
1414 |
+
"loss": 0.4019,
|
1415 |
+
"step": 1940
|
1416 |
+
},
|
1417 |
+
{
|
1418 |
+
"epoch": 0.93,
|
1419 |
+
"learning_rate": 9.189587401487073e-06,
|
1420 |
+
"loss": 0.4154,
|
1421 |
+
"step": 1950
|
1422 |
+
},
|
1423 |
+
{
|
1424 |
+
"epoch": 0.94,
|
1425 |
+
"learning_rate": 9.178680801264855e-06,
|
1426 |
+
"loss": 0.4267,
|
1427 |
+
"step": 1960
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 0.94,
|
1431 |
+
"learning_rate": 9.167707862638973e-06,
|
1432 |
+
"loss": 0.4344,
|
1433 |
+
"step": 1970
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 0.94,
|
1437 |
+
"learning_rate": 9.156668759809678e-06,
|
1438 |
+
"loss": 0.4095,
|
1439 |
+
"step": 1980
|
1440 |
+
},
|
1441 |
+
{
|
1442 |
+
"epoch": 0.95,
|
1443 |
+
"learning_rate": 9.145563668027599e-06,
|
1444 |
+
"loss": 0.4053,
|
1445 |
+
"step": 1990
|
1446 |
+
},
|
1447 |
+
{
|
1448 |
+
"epoch": 0.95,
|
1449 |
+
"learning_rate": 9.134392763590978e-06,
|
1450 |
+
"loss": 0.4244,
|
1451 |
+
"step": 2000
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.95,
|
1455 |
+
"eval_webgpt_accuracy": 0.585291113381001,
|
1456 |
+
"eval_webgpt_loss": 0.6761194467544556,
|
1457 |
+
"eval_webgpt_runtime": 63.2755,
|
1458 |
+
"eval_webgpt_samples_per_second": 61.888,
|
1459 |
+
"eval_webgpt_steps_per_second": 6.195,
|
1460 |
+
"step": 2000
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 0.95,
|
1464 |
+
"eval_hfsummary_accuracy": 0.6690142973732733,
|
1465 |
+
"eval_hfsummary_loss": 0.6501129269599915,
|
1466 |
+
"eval_hfsummary_runtime": 1243.8141,
|
1467 |
+
"eval_hfsummary_samples_per_second": 26.598,
|
1468 |
+
"eval_hfsummary_steps_per_second": 2.66,
|
1469 |
+
"step": 2000
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 0.95,
|
1473 |
+
"eval_gptsynthetic_accuracy": 0.9978883861236802,
|
1474 |
+
"eval_gptsynthetic_loss": 0.0076271467842161655,
|
1475 |
+
"eval_gptsynthetic_runtime": 45.8118,
|
1476 |
+
"eval_gptsynthetic_samples_per_second": 72.361,
|
1477 |
+
"eval_gptsynthetic_steps_per_second": 7.247,
|
1478 |
+
"step": 2000
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"epoch": 0.96,
|
1482 |
+
"learning_rate": 9.124282826330867e-06,
|
1483 |
+
"loss": 0.4132,
|
1484 |
+
"step": 2010
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 0.96,
|
1488 |
+
"learning_rate": 9.112987367291958e-06,
|
1489 |
+
"loss": 0.4089,
|
1490 |
+
"step": 2020
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 0.97,
|
1494 |
+
"learning_rate": 9.101626612761673e-06,
|
1495 |
+
"loss": 0.42,
|
1496 |
+
"step": 2030
|
1497 |
+
},
|
1498 |
+
{
|
1499 |
+
"epoch": 0.97,
|
1500 |
+
"learning_rate": 9.090200743097004e-06,
|
1501 |
+
"loss": 0.3961,
|
1502 |
+
"step": 2040
|
1503 |
+
},
|
1504 |
+
{
|
1505 |
+
"epoch": 0.98,
|
1506 |
+
"learning_rate": 9.078709939688683e-06,
|
1507 |
+
"loss": 0.4139,
|
1508 |
+
"step": 2050
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 0.98,
|
1512 |
+
"learning_rate": 9.06715438495829e-06,
|
1513 |
+
"loss": 0.4021,
|
1514 |
+
"step": 2060
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.99,
|
1518 |
+
"learning_rate": 9.055534262355358e-06,
|
1519 |
+
"loss": 0.4246,
|
1520 |
+
"step": 2070
|
1521 |
+
},
|
1522 |
+
{
|
1523 |
+
"epoch": 0.99,
|
1524 |
+
"learning_rate": 9.043849756354469e-06,
|
1525 |
+
"loss": 0.4233,
|
1526 |
+
"step": 2080
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 1.0,
|
1530 |
+
"learning_rate": 9.032101052452318e-06,
|
1531 |
+
"loss": 0.4121,
|
1532 |
+
"step": 2090
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 1.0,
|
1536 |
+
"learning_rate": 9.020288337164766e-06,
|
1537 |
+
"loss": 0.4299,
|
1538 |
+
"step": 2100
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 1.01,
|
1542 |
+
"learning_rate": 9.00841179802389e-06,
|
1543 |
+
"loss": 0.3955,
|
1544 |
+
"step": 2110
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 1.01,
|
1548 |
+
"learning_rate": 8.996471623574997e-06,
|
1549 |
+
"loss": 0.4185,
|
1550 |
+
"step": 2120
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 1.02,
|
1554 |
+
"learning_rate": 8.984468003373625e-06,
|
1555 |
+
"loss": 0.4086,
|
1556 |
+
"step": 2130
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 1.02,
|
1560 |
+
"learning_rate": 8.97240112798255e-06,
|
1561 |
+
"loss": 0.4061,
|
1562 |
+
"step": 2140
|
1563 |
+
},
|
1564 |
+
{
|
1565 |
+
"epoch": 1.03,
|
1566 |
+
"learning_rate": 8.960271188968753e-06,
|
1567 |
+
"loss": 0.3859,
|
1568 |
+
"step": 2150
|
1569 |
+
},
|
1570 |
+
{
|
1571 |
+
"epoch": 1.03,
|
1572 |
+
"learning_rate": 8.948078378900368e-06,
|
1573 |
+
"loss": 0.3951,
|
1574 |
+
"step": 2160
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 1.04,
|
1578 |
+
"learning_rate": 8.935822891343647e-06,
|
1579 |
+
"loss": 0.3914,
|
1580 |
+
"step": 2170
|
1581 |
+
},
|
1582 |
+
{
|
1583 |
+
"epoch": 1.04,
|
1584 |
+
"learning_rate": 8.923504920859864e-06,
|
1585 |
+
"loss": 0.3672,
|
1586 |
+
"step": 2180
|
1587 |
+
},
|
1588 |
+
{
|
1589 |
+
"epoch": 1.04,
|
1590 |
+
"learning_rate": 8.911124663002243e-06,
|
1591 |
+
"loss": 0.385,
|
1592 |
+
"step": 2190
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 1.05,
|
1596 |
+
"learning_rate": 8.898682314312852e-06,
|
1597 |
+
"loss": 0.3932,
|
1598 |
+
"step": 2200
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 1.05,
|
1602 |
+
"eval_webgpt_accuracy": 0.5681818181818182,
|
1603 |
+
"eval_webgpt_loss": 0.6895765662193298,
|
1604 |
+
"eval_webgpt_runtime": 63.5181,
|
1605 |
+
"eval_webgpt_samples_per_second": 61.652,
|
1606 |
+
"eval_webgpt_steps_per_second": 6.171,
|
1607 |
+
"step": 2200
|
1608 |
+
},
|
1609 |
+
{
|
1610 |
+
"epoch": 1.05,
|
1611 |
+
"eval_hfsummary_accuracy": 0.6638757065562373,
|
1612 |
+
"eval_hfsummary_loss": 0.6736522912979126,
|
1613 |
+
"eval_hfsummary_runtime": 1274.8625,
|
1614 |
+
"eval_hfsummary_samples_per_second": 25.95,
|
1615 |
+
"eval_hfsummary_steps_per_second": 2.596,
|
1616 |
+
"step": 2200
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 1.05,
|
1620 |
+
"eval_gptsynthetic_accuracy": 0.9984917043740573,
|
1621 |
+
"eval_gptsynthetic_loss": 0.006684631574898958,
|
1622 |
+
"eval_gptsynthetic_runtime": 46.0527,
|
1623 |
+
"eval_gptsynthetic_samples_per_second": 71.983,
|
1624 |
+
"eval_gptsynthetic_steps_per_second": 7.209,
|
1625 |
+
"step": 2200
|
1626 |
+
},
|
1627 |
+
{
|
1628 |
+
"epoch": 1.05,
|
1629 |
+
"learning_rate": 8.886178072319464e-06,
|
1630 |
+
"loss": 0.3868,
|
1631 |
+
"step": 2210
|
1632 |
+
},
|
1633 |
+
{
|
1634 |
+
"epoch": 1.06,
|
1635 |
+
"learning_rate": 8.873612135532451e-06,
|
1636 |
+
"loss": 0.3712,
|
1637 |
+
"step": 2220
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 1.06,
|
1641 |
+
"learning_rate": 8.860984703441608e-06,
|
1642 |
+
"loss": 0.4153,
|
1643 |
+
"step": 2230
|
1644 |
+
},
|
1645 |
+
{
|
1646 |
+
"epoch": 1.07,
|
1647 |
+
"learning_rate": 8.848295976512996e-06,
|
1648 |
+
"loss": 0.4364,
|
1649 |
+
"step": 2240
|
1650 |
+
},
|
1651 |
+
{
|
1652 |
+
"epoch": 1.07,
|
1653 |
+
"learning_rate": 8.835546156185765e-06,
|
1654 |
+
"loss": 0.3733,
|
1655 |
+
"step": 2250
|
1656 |
+
},
|
1657 |
+
{
|
1658 |
+
"epoch": 1.08,
|
1659 |
+
"learning_rate": 8.822735444868941e-06,
|
1660 |
+
"loss": 0.389,
|
1661 |
+
"step": 2260
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 1.08,
|
1665 |
+
"learning_rate": 8.809864045938227e-06,
|
1666 |
+
"loss": 0.3869,
|
1667 |
+
"step": 2270
|
1668 |
+
},
|
1669 |
+
{
|
1670 |
+
"epoch": 1.09,
|
1671 |
+
"learning_rate": 8.796932163732768e-06,
|
1672 |
+
"loss": 0.3782,
|
1673 |
+
"step": 2280
|
1674 |
+
},
|
1675 |
+
{
|
1676 |
+
"epoch": 1.09,
|
1677 |
+
"learning_rate": 8.783940003551902e-06,
|
1678 |
+
"loss": 0.4087,
|
1679 |
+
"step": 2290
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 1.1,
|
1683 |
+
"learning_rate": 8.770887771651916e-06,
|
1684 |
+
"loss": 0.3849,
|
1685 |
+
"step": 2300
|
1686 |
+
},
|
1687 |
+
{
|
1688 |
+
"epoch": 1.1,
|
1689 |
+
"learning_rate": 8.757775675242757e-06,
|
1690 |
+
"loss": 0.3848,
|
1691 |
+
"step": 2310
|
1692 |
+
},
|
1693 |
+
{
|
1694 |
+
"epoch": 1.11,
|
1695 |
+
"learning_rate": 8.744603922484746e-06,
|
1696 |
+
"loss": 0.4036,
|
1697 |
+
"step": 2320
|
1698 |
+
},
|
1699 |
+
{
|
1700 |
+
"epoch": 1.11,
|
1701 |
+
"learning_rate": 8.731372722485276e-06,
|
1702 |
+
"loss": 0.3931,
|
1703 |
+
"step": 2330
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 1.12,
|
1707 |
+
"learning_rate": 8.718082285295496e-06,
|
1708 |
+
"loss": 0.3909,
|
1709 |
+
"step": 2340
|
1710 |
+
},
|
1711 |
+
{
|
1712 |
+
"epoch": 1.12,
|
1713 |
+
"learning_rate": 8.70473282190696e-06,
|
1714 |
+
"loss": 0.3912,
|
1715 |
+
"step": 2350
|
1716 |
+
},
|
1717 |
+
{
|
1718 |
+
"epoch": 1.13,
|
1719 |
+
"learning_rate": 8.691324544248303e-06,
|
1720 |
+
"loss": 0.3874,
|
1721 |
+
"step": 2360
|
1722 |
+
},
|
1723 |
+
{
|
1724 |
+
"epoch": 1.13,
|
1725 |
+
"learning_rate": 8.677857665181854e-06,
|
1726 |
+
"loss": 0.3878,
|
1727 |
+
"step": 2370
|
1728 |
+
},
|
1729 |
+
{
|
1730 |
+
"epoch": 1.14,
|
1731 |
+
"learning_rate": 8.664332398500269e-06,
|
1732 |
+
"loss": 0.4063,
|
1733 |
+
"step": 2380
|
1734 |
+
},
|
1735 |
+
{
|
1736 |
+
"epoch": 1.14,
|
1737 |
+
"learning_rate": 8.650748958923128e-06,
|
1738 |
+
"loss": 0.3794,
|
1739 |
+
"step": 2390
|
1740 |
+
},
|
1741 |
+
{
|
1742 |
+
"epoch": 1.15,
|
1743 |
+
"learning_rate": 8.637107562093537e-06,
|
1744 |
+
"loss": 0.3514,
|
1745 |
+
"step": 2400
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 1.15,
|
1749 |
+
"eval_webgpt_accuracy": 0.5840143003064351,
|
1750 |
+
"eval_webgpt_loss": 0.6855098605155945,
|
1751 |
+
"eval_webgpt_runtime": 63.4383,
|
1752 |
+
"eval_webgpt_samples_per_second": 61.729,
|
1753 |
+
"eval_webgpt_steps_per_second": 6.179,
|
1754 |
+
"step": 2400
|
1755 |
+
},
|
1756 |
+
{
|
1757 |
+
"epoch": 1.15,
|
1758 |
+
"eval_hfsummary_accuracy": 0.6732158510413203,
|
1759 |
+
"eval_hfsummary_loss": 0.6792841553688049,
|
1760 |
+
"eval_hfsummary_runtime": 1256.3167,
|
1761 |
+
"eval_hfsummary_samples_per_second": 26.333,
|
1762 |
+
"eval_hfsummary_steps_per_second": 2.634,
|
1763 |
+
"step": 2400
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 1.15,
|
1767 |
+
"eval_gptsynthetic_accuracy": 0.9978883861236802,
|
1768 |
+
"eval_gptsynthetic_loss": 0.00653717340901494,
|
1769 |
+
"eval_gptsynthetic_runtime": 45.9265,
|
1770 |
+
"eval_gptsynthetic_samples_per_second": 72.181,
|
1771 |
+
"eval_gptsynthetic_steps_per_second": 7.229,
|
1772 |
+
"step": 2400
|
1773 |
+
},
|
1774 |
+
{
|
1775 |
+
"epoch": 1.15,
|
1776 |
+
"learning_rate": 8.623408424574695e-06,
|
1777 |
+
"loss": 0.3742,
|
1778 |
+
"step": 2410
|
1779 |
+
},
|
1780 |
+
{
|
1781 |
+
"epoch": 1.15,
|
1782 |
+
"learning_rate": 8.609651763846462e-06,
|
1783 |
+
"loss": 0.3696,
|
1784 |
+
"step": 2420
|
1785 |
+
},
|
1786 |
+
{
|
1787 |
+
"epoch": 1.16,
|
1788 |
+
"learning_rate": 8.595837798301908e-06,
|
1789 |
+
"loss": 0.3943,
|
1790 |
+
"step": 2430
|
1791 |
+
},
|
1792 |
+
{
|
1793 |
+
"epoch": 1.16,
|
1794 |
+
"learning_rate": 8.581966747243835e-06,
|
1795 |
+
"loss": 0.3928,
|
1796 |
+
"step": 2440
|
1797 |
+
},
|
1798 |
+
{
|
1799 |
+
"epoch": 1.17,
|
1800 |
+
"learning_rate": 8.568038830881305e-06,
|
1801 |
+
"loss": 0.3753,
|
1802 |
+
"step": 2450
|
1803 |
+
},
|
1804 |
+
{
|
1805 |
+
"epoch": 1.17,
|
1806 |
+
"learning_rate": 8.554054270326144e-06,
|
1807 |
+
"loss": 0.3594,
|
1808 |
+
"step": 2460
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 1.18,
|
1812 |
+
"learning_rate": 8.54001328758943e-06,
|
1813 |
+
"loss": 0.3674,
|
1814 |
+
"step": 2470
|
1815 |
+
},
|
1816 |
+
{
|
1817 |
+
"epoch": 1.18,
|
1818 |
+
"learning_rate": 8.525916105577967e-06,
|
1819 |
+
"loss": 0.3714,
|
1820 |
+
"step": 2480
|
1821 |
+
},
|
1822 |
+
{
|
1823 |
+
"epoch": 1.19,
|
1824 |
+
"learning_rate": 8.511762948090745e-06,
|
1825 |
+
"loss": 0.3937,
|
1826 |
+
"step": 2490
|
1827 |
+
},
|
1828 |
+
{
|
1829 |
+
"epoch": 1.19,
|
1830 |
+
"learning_rate": 8.49755403981539e-06,
|
1831 |
+
"loss": 0.3848,
|
1832 |
+
"step": 2500
|
1833 |
+
},
|
1834 |
+
{
|
1835 |
+
"epoch": 1.2,
|
1836 |
+
"learning_rate": 8.4832896063246e-06,
|
1837 |
+
"loss": 0.3709,
|
1838 |
+
"step": 2510
|
1839 |
+
},
|
1840 |
+
{
|
1841 |
+
"epoch": 1.2,
|
1842 |
+
"learning_rate": 8.46896987407256e-06,
|
1843 |
+
"loss": 0.4056,
|
1844 |
+
"step": 2520
|
1845 |
+
},
|
1846 |
+
{
|
1847 |
+
"epoch": 1.21,
|
1848 |
+
"learning_rate": 8.45459507039134e-06,
|
1849 |
+
"loss": 0.3794,
|
1850 |
+
"step": 2530
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 1.21,
|
1854 |
+
"learning_rate": 8.440165423487302e-06,
|
1855 |
+
"loss": 0.3597,
|
1856 |
+
"step": 2540
|
1857 |
+
},
|
1858 |
+
{
|
1859 |
+
"epoch": 1.22,
|
1860 |
+
"learning_rate": 8.425681162437464e-06,
|
1861 |
+
"loss": 0.3773,
|
1862 |
+
"step": 2550
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 1.22,
|
1866 |
+
"learning_rate": 8.41114251718587e-06,
|
1867 |
+
"loss": 0.3678,
|
1868 |
+
"step": 2560
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"epoch": 1.23,
|
1872 |
+
"learning_rate": 8.396549718539934e-06,
|
1873 |
+
"loss": 0.3831,
|
1874 |
+
"step": 2570
|
1875 |
+
},
|
1876 |
+
{
|
1877 |
+
"epoch": 1.23,
|
1878 |
+
"learning_rate": 8.381902998166782e-06,
|
1879 |
+
"loss": 0.3873,
|
1880 |
+
"step": 2580
|
1881 |
+
},
|
1882 |
+
{
|
1883 |
+
"epoch": 1.24,
|
1884 |
+
"learning_rate": 8.367202588589569e-06,
|
1885 |
+
"loss": 0.3775,
|
1886 |
+
"step": 2590
|
1887 |
+
},
|
1888 |
+
{
|
1889 |
+
"epoch": 1.24,
|
1890 |
+
"learning_rate": 8.352448723183792e-06,
|
1891 |
+
"loss": 0.3936,
|
1892 |
+
"step": 2600
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 1.24,
|
1896 |
+
"eval_webgpt_accuracy": 0.5760980592441267,
|
1897 |
+
"eval_webgpt_loss": 0.6807132959365845,
|
1898 |
+
"eval_webgpt_runtime": 68.3724,
|
1899 |
+
"eval_webgpt_samples_per_second": 57.275,
|
1900 |
+
"eval_webgpt_steps_per_second": 5.733,
|
1901 |
+
"step": 2600
|
1902 |
+
},
|
1903 |
+
{
|
1904 |
+
"epoch": 1.24,
|
1905 |
+
"eval_hfsummary_accuracy": 0.6699815615270683,
|
1906 |
+
"eval_hfsummary_loss": 0.6664829254150391,
|
1907 |
+
"eval_hfsummary_runtime": 1323.7739,
|
1908 |
+
"eval_hfsummary_samples_per_second": 24.991,
|
1909 |
+
"eval_hfsummary_steps_per_second": 2.5,
|
1910 |
+
"step": 2600
|
1911 |
+
},
|
1912 |
+
{
|
1913 |
+
"epoch": 1.24,
|
1914 |
+
"eval_gptsynthetic_accuracy": 0.9984917043740573,
|
1915 |
+
"eval_gptsynthetic_loss": 0.006850704550743103,
|
1916 |
+
"eval_gptsynthetic_runtime": 48.9916,
|
1917 |
+
"eval_gptsynthetic_samples_per_second": 67.665,
|
1918 |
+
"eval_gptsynthetic_steps_per_second": 6.777,
|
1919 |
+
"step": 2600
|
1920 |
+
},
|
1921 |
+
{
|
1922 |
+
"epoch": 1.25,
|
1923 |
+
"learning_rate": 8.337641636173582e-06,
|
1924 |
+
"loss": 0.3647,
|
1925 |
+
"step": 2610
|
1926 |
+
},
|
1927 |
+
{
|
1928 |
+
"epoch": 1.25,
|
1929 |
+
"learning_rate": 8.322781562627987e-06,
|
1930 |
+
"loss": 0.3815,
|
1931 |
+
"step": 2620
|
1932 |
+
},
|
1933 |
+
{
|
1934 |
+
"epoch": 1.25,
|
1935 |
+
"learning_rate": 8.307868738457236e-06,
|
1936 |
+
"loss": 0.3979,
|
1937 |
+
"step": 2630
|
1938 |
+
},
|
1939 |
+
{
|
1940 |
+
"epoch": 1.26,
|
1941 |
+
"learning_rate": 8.292903400409005e-06,
|
1942 |
+
"loss": 0.3685,
|
1943 |
+
"step": 2640
|
1944 |
+
},
|
1945 |
+
{
|
1946 |
+
"epoch": 1.26,
|
1947 |
+
"learning_rate": 8.27788578606464e-06,
|
1948 |
+
"loss": 0.3498,
|
1949 |
+
"step": 2650
|
1950 |
+
},
|
1951 |
+
{
|
1952 |
+
"epoch": 1.27,
|
1953 |
+
"learning_rate": 8.262816133835412e-06,
|
1954 |
+
"loss": 0.3641,
|
1955 |
+
"step": 2660
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 1.27,
|
1959 |
+
"learning_rate": 8.247694682958699e-06,
|
1960 |
+
"loss": 0.4006,
|
1961 |
+
"step": 2670
|
1962 |
+
},
|
1963 |
+
{
|
1964 |
+
"epoch": 1.28,
|
1965 |
+
"learning_rate": 8.232521673494216e-06,
|
1966 |
+
"loss": 0.3857,
|
1967 |
+
"step": 2680
|
1968 |
+
},
|
1969 |
+
{
|
1970 |
+
"epoch": 1.28,
|
1971 |
+
"learning_rate": 8.217297346320192e-06,
|
1972 |
+
"loss": 0.3838,
|
1973 |
+
"step": 2690
|
1974 |
+
},
|
1975 |
+
{
|
1976 |
+
"epoch": 1.29,
|
1977 |
+
"learning_rate": 8.202021943129548e-06,
|
1978 |
+
"loss": 0.3979,
|
1979 |
+
"step": 2700
|
1980 |
+
},
|
1981 |
+
{
|
1982 |
+
"epoch": 1.29,
|
1983 |
+
"learning_rate": 8.186695706426053e-06,
|
1984 |
+
"loss": 0.3589,
|
1985 |
+
"step": 2710
|
1986 |
+
},
|
1987 |
+
{
|
1988 |
+
"epoch": 1.3,
|
1989 |
+
"learning_rate": 8.17131887952049e-06,
|
1990 |
+
"loss": 0.3853,
|
1991 |
+
"step": 2720
|
1992 |
+
},
|
1993 |
+
{
|
1994 |
+
"epoch": 1.3,
|
1995 |
+
"learning_rate": 8.155891706526773e-06,
|
1996 |
+
"loss": 0.3698,
|
1997 |
+
"step": 2730
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 1.31,
|
2001 |
+
"learning_rate": 8.140414432358094e-06,
|
2002 |
+
"loss": 0.3637,
|
2003 |
+
"step": 2740
|
2004 |
+
},
|
2005 |
+
{
|
2006 |
+
"epoch": 1.31,
|
2007 |
+
"learning_rate": 8.124887302723014e-06,
|
2008 |
+
"loss": 0.3742,
|
2009 |
+
"step": 2750
|
2010 |
+
},
|
2011 |
+
{
|
2012 |
+
"epoch": 1.32,
|
2013 |
+
"learning_rate": 8.109310564121577e-06,
|
2014 |
+
"loss": 0.3849,
|
2015 |
+
"step": 2760
|
2016 |
+
},
|
2017 |
+
{
|
2018 |
+
"epoch": 1.32,
|
2019 |
+
"learning_rate": 8.09368446384139e-06,
|
2020 |
+
"loss": 0.3721,
|
2021 |
+
"step": 2770
|
2022 |
+
},
|
2023 |
+
{
|
2024 |
+
"epoch": 1.33,
|
2025 |
+
"learning_rate": 8.078009249953693e-06,
|
2026 |
+
"loss": 0.3818,
|
2027 |
+
"step": 2780
|
2028 |
+
},
|
2029 |
+
{
|
2030 |
+
"epoch": 1.33,
|
2031 |
+
"learning_rate": 8.062285171309437e-06,
|
2032 |
+
"loss": 0.384,
|
2033 |
+
"step": 2790
|
2034 |
+
},
|
2035 |
+
{
|
2036 |
+
"epoch": 1.34,
|
2037 |
+
"learning_rate": 8.046512477535315e-06,
|
2038 |
+
"loss": 0.3567,
|
2039 |
+
"step": 2800
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 1.34,
|
2043 |
+
"eval_webgpt_accuracy": 0.5822267620020429,
|
2044 |
+
"eval_webgpt_loss": 0.6815086007118225,
|
2045 |
+
"eval_webgpt_runtime": 68.1221,
|
2046 |
+
"eval_webgpt_samples_per_second": 57.485,
|
2047 |
+
"eval_webgpt_steps_per_second": 5.754,
|
2048 |
+
"step": 2800
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 1.34,
|
2052 |
+
"eval_hfsummary_accuracy": 0.6710697337000877,
|
2053 |
+
"eval_hfsummary_loss": 0.6821005940437317,
|
2054 |
+
"eval_hfsummary_runtime": 1319.5773,
|
2055 |
+
"eval_hfsummary_samples_per_second": 25.071,
|
2056 |
+
"eval_hfsummary_steps_per_second": 2.508,
|
2057 |
+
"step": 2800
|
2058 |
+
},
|
2059 |
+
{
|
2060 |
+
"epoch": 1.34,
|
2061 |
+
"eval_gptsynthetic_accuracy": 0.9978883861236802,
|
2062 |
+
"eval_gptsynthetic_loss": 0.005701866466552019,
|
2063 |
+
"eval_gptsynthetic_runtime": 48.8957,
|
2064 |
+
"eval_gptsynthetic_samples_per_second": 67.797,
|
2065 |
+
"eval_gptsynthetic_steps_per_second": 6.79,
|
2066 |
+
"step": 2800
|
2067 |
+
},
|
2068 |
+
{
|
2069 |
+
"epoch": 1.34,
|
2070 |
+
"learning_rate": 8.030691419029806e-06,
|
2071 |
+
"loss": 0.3813,
|
2072 |
+
"step": 2810
|
2073 |
+
},
|
2074 |
+
{
|
2075 |
+
"epoch": 1.35,
|
2076 |
+
"learning_rate": 8.014822246959203e-06,
|
2077 |
+
"loss": 0.3645,
|
2078 |
+
"step": 2820
|
2079 |
+
},
|
2080 |
+
{
|
2081 |
+
"epoch": 1.35,
|
2082 |
+
"learning_rate": 7.998905213253627e-06,
|
2083 |
+
"loss": 0.3752,
|
2084 |
+
"step": 2830
|
2085 |
+
},
|
2086 |
+
{
|
2087 |
+
"epoch": 1.35,
|
2088 |
+
"learning_rate": 7.982940570603014e-06,
|
2089 |
+
"loss": 0.4075,
|
2090 |
+
"step": 2840
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 1.36,
|
2094 |
+
"learning_rate": 7.966928572453123e-06,
|
2095 |
+
"loss": 0.3823,
|
2096 |
+
"step": 2850
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 1.36,
|
2100 |
+
"learning_rate": 7.950869473001494e-06,
|
2101 |
+
"loss": 0.3776,
|
2102 |
+
"step": 2860
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 1.37,
|
2106 |
+
"learning_rate": 7.93476352719343e-06,
|
2107 |
+
"loss": 0.3689,
|
2108 |
+
"step": 2870
|
2109 |
+
},
|
2110 |
+
{
|
2111 |
+
"epoch": 1.37,
|
2112 |
+
"learning_rate": 7.91861099071793e-06,
|
2113 |
+
"loss": 0.3883,
|
2114 |
+
"step": 2880
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 1.38,
|
2118 |
+
"learning_rate": 7.902412120003649e-06,
|
2119 |
+
"loss": 0.3736,
|
2120 |
+
"step": 2890
|
2121 |
+
},
|
2122 |
+
{
|
2123 |
+
"epoch": 1.38,
|
2124 |
+
"learning_rate": 7.886167172214814e-06,
|
2125 |
+
"loss": 0.3363,
|
2126 |
+
"step": 2900
|
2127 |
+
},
|
2128 |
+
{
|
2129 |
+
"epoch": 1.39,
|
2130 |
+
"learning_rate": 7.86987640524715e-06,
|
2131 |
+
"loss": 0.3866,
|
2132 |
+
"step": 2910
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 1.39,
|
2136 |
+
"learning_rate": 7.853540077723779e-06,
|
2137 |
+
"loss": 0.3717,
|
2138 |
+
"step": 2920
|
2139 |
+
},
|
2140 |
+
{
|
2141 |
+
"epoch": 1.4,
|
2142 |
+
"learning_rate": 7.837158448991112e-06,
|
2143 |
+
"loss": 0.3665,
|
2144 |
+
"step": 2930
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 1.4,
|
2148 |
+
"learning_rate": 7.820731779114746e-06,
|
2149 |
+
"loss": 0.3814,
|
2150 |
+
"step": 2940
|
2151 |
+
},
|
2152 |
+
{
|
2153 |
+
"epoch": 1.41,
|
2154 |
+
"learning_rate": 7.804260328875322e-06,
|
2155 |
+
"loss": 0.3703,
|
2156 |
+
"step": 2950
|
2157 |
+
},
|
2158 |
+
{
|
2159 |
+
"epoch": 1.41,
|
2160 |
+
"learning_rate": 7.787744359764388e-06,
|
2161 |
+
"loss": 0.3896,
|
2162 |
+
"step": 2960
|
2163 |
+
},
|
2164 |
+
{
|
2165 |
+
"epoch": 1.42,
|
2166 |
+
"learning_rate": 7.77118413398025e-06,
|
2167 |
+
"loss": 0.3566,
|
2168 |
+
"step": 2970
|
2169 |
+
},
|
2170 |
+
{
|
2171 |
+
"epoch": 1.42,
|
2172 |
+
"learning_rate": 7.754579914423806e-06,
|
2173 |
+
"loss": 0.3743,
|
2174 |
+
"step": 2980
|
2175 |
+
},
|
2176 |
+
{
|
2177 |
+
"epoch": 1.43,
|
2178 |
+
"learning_rate": 7.737931964694378e-06,
|
2179 |
+
"loss": 0.3657,
|
2180 |
+
"step": 2990
|
2181 |
+
},
|
2182 |
+
{
|
2183 |
+
"epoch": 1.43,
|
2184 |
+
"learning_rate": 7.721240549085523e-06,
|
2185 |
+
"loss": 0.3956,
|
2186 |
+
"step": 3000
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 1.43,
|
2190 |
+
"eval_webgpt_accuracy": 0.5799284984678243,
|
2191 |
+
"eval_webgpt_loss": 0.6848716139793396,
|
2192 |
+
"eval_webgpt_runtime": 67.9306,
|
2193 |
+
"eval_webgpt_samples_per_second": 57.647,
|
2194 |
+
"eval_webgpt_steps_per_second": 5.771,
|
2195 |
+
"step": 3000
|
2196 |
+
},
|
2197 |
+
{
|
2198 |
+
"epoch": 1.43,
|
2199 |
+
"eval_hfsummary_accuracy": 0.6674122661185503,
|
2200 |
+
"eval_hfsummary_loss": 0.6731451153755188,
|
2201 |
+
"eval_hfsummary_runtime": 1273.6757,
|
2202 |
+
"eval_hfsummary_samples_per_second": 25.974,
|
2203 |
+
"eval_hfsummary_steps_per_second": 2.598,
|
2204 |
+
"step": 3000
|
2205 |
+
},
|
2206 |
+
{
|
2207 |
+
"epoch": 1.43,
|
2208 |
+
"eval_gptsynthetic_accuracy": 0.9984917043740573,
|
2209 |
+
"eval_gptsynthetic_loss": 0.005726581439375877,
|
2210 |
+
"eval_gptsynthetic_runtime": 48.6337,
|
2211 |
+
"eval_gptsynthetic_samples_per_second": 68.163,
|
2212 |
+
"eval_gptsynthetic_steps_per_second": 6.827,
|
2213 |
+
"step": 3000
|
2214 |
+
},
|
2215 |
+
{
|
2216 |
+
"epoch": 1.44,
|
2217 |
+
"learning_rate": 7.704505932580835e-06,
|
2218 |
+
"loss": 0.3617,
|
2219 |
+
"step": 3010
|
2220 |
+
},
|
2221 |
+
{
|
2222 |
+
"epoch": 1.44,
|
2223 |
+
"learning_rate": 7.687728380849746e-06,
|
2224 |
+
"loss": 0.3944,
|
2225 |
+
"step": 3020
|
2226 |
+
},
|
2227 |
+
{
|
2228 |
+
"epoch": 1.45,
|
2229 |
+
"learning_rate": 7.6709081602433e-06,
|
2230 |
+
"loss": 0.347,
|
2231 |
+
"step": 3030
|
2232 |
+
},
|
2233 |
+
{
|
2234 |
+
"epoch": 1.45,
|
2235 |
+
"learning_rate": 7.654045537789929e-06,
|
2236 |
+
"loss": 0.3657,
|
2237 |
+
"step": 3040
|
2238 |
+
},
|
2239 |
+
{
|
2240 |
+
"epoch": 1.46,
|
2241 |
+
"learning_rate": 7.637140781191214e-06,
|
2242 |
+
"loss": 0.3874,
|
2243 |
+
"step": 3050
|
2244 |
+
},
|
2245 |
+
{
|
2246 |
+
"epoch": 1.46,
|
2247 |
+
"learning_rate": 7.6201941588176355e-06,
|
2248 |
+
"loss": 0.3875,
|
2249 |
+
"step": 3060
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 1.46,
|
2253 |
+
"learning_rate": 7.603205939704308e-06,
|
2254 |
+
"loss": 0.371,
|
2255 |
+
"step": 3070
|
2256 |
+
},
|
2257 |
+
{
|
2258 |
+
"epoch": 1.47,
|
2259 |
+
"learning_rate": 7.586176393546714e-06,
|
2260 |
+
"loss": 0.4006,
|
2261 |
+
"step": 3080
|
2262 |
+
},
|
2263 |
+
{
|
2264 |
+
"epoch": 1.47,
|
2265 |
+
"learning_rate": 7.569105790696423e-06,
|
2266 |
+
"loss": 0.3721,
|
2267 |
+
"step": 3090
|
2268 |
+
},
|
2269 |
+
{
|
2270 |
+
"epoch": 1.48,
|
2271 |
+
"learning_rate": 7.551994402156794e-06,
|
2272 |
+
"loss": 0.3825,
|
2273 |
+
"step": 3100
|
2274 |
+
},
|
2275 |
+
{
|
2276 |
+
"epoch": 1.48,
|
2277 |
+
"learning_rate": 7.5348424995786814e-06,
|
2278 |
+
"loss": 0.3688,
|
2279 |
+
"step": 3110
|
2280 |
+
},
|
2281 |
+
{
|
2282 |
+
"epoch": 1.49,
|
2283 |
+
"learning_rate": 7.517650355256116e-06,
|
2284 |
+
"loss": 0.3698,
|
2285 |
+
"step": 3120
|
2286 |
+
},
|
2287 |
+
{
|
2288 |
+
"epoch": 1.49,
|
2289 |
+
"learning_rate": 7.500418242121982e-06,
|
2290 |
+
"loss": 0.3623,
|
2291 |
+
"step": 3130
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 1.5,
|
2295 |
+
"learning_rate": 7.483146433743686e-06,
|
2296 |
+
"loss": 0.3739,
|
2297 |
+
"step": 3140
|
2298 |
+
},
|
2299 |
+
{
|
2300 |
+
"epoch": 1.5,
|
2301 |
+
"learning_rate": 7.465835204318822e-06,
|
2302 |
+
"loss": 0.3708,
|
2303 |
+
"step": 3150
|
2304 |
+
},
|
2305 |
+
{
|
2306 |
+
"epoch": 1.51,
|
2307 |
+
"learning_rate": 7.448484828670799e-06,
|
2308 |
+
"loss": 0.3344,
|
2309 |
+
"step": 3160
|
2310 |
+
},
|
2311 |
+
{
|
2312 |
+
"epoch": 1.51,
|
2313 |
+
"learning_rate": 7.431095582244495e-06,
|
2314 |
+
"loss": 0.3548,
|
2315 |
+
"step": 3170
|
2316 |
+
},
|
2317 |
+
{
|
2318 |
+
"epoch": 1.52,
|
2319 |
+
"learning_rate": 7.413667741101881e-06,
|
2320 |
+
"loss": 0.3702,
|
2321 |
+
"step": 3180
|
2322 |
+
},
|
2323 |
+
{
|
2324 |
+
"epoch": 1.52,
|
2325 |
+
"learning_rate": 7.3962015819176324e-06,
|
2326 |
+
"loss": 0.3361,
|
2327 |
+
"step": 3190
|
2328 |
+
},
|
2329 |
+
{
|
2330 |
+
"epoch": 1.53,
|
2331 |
+
"learning_rate": 7.378697381974744e-06,
|
2332 |
+
"loss": 0.4019,
|
2333 |
+
"step": 3200
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 1.53,
|
2337 |
+
"eval_webgpt_accuracy": 0.5891215526046987,
|
2338 |
+
"eval_webgpt_loss": 0.6808570623397827,
|
2339 |
+
"eval_webgpt_runtime": 63.3758,
|
2340 |
+
"eval_webgpt_samples_per_second": 61.79,
|
2341 |
+
"eval_webgpt_steps_per_second": 6.185,
|
2342 |
+
"step": 3200
|
2343 |
+
},
|
2344 |
+
{
|
2345 |
+
"epoch": 1.53,
|
2346 |
+
"eval_hfsummary_accuracy": 0.6569839494604479,
|
2347 |
+
"eval_hfsummary_loss": 0.692561686038971,
|
2348 |
+
"eval_hfsummary_runtime": 1242.943,
|
2349 |
+
"eval_hfsummary_samples_per_second": 26.617,
|
2350 |
+
"eval_hfsummary_steps_per_second": 2.662,
|
2351 |
+
"step": 3200
|
2352 |
+
},
|
2353 |
+
{
|
2354 |
+
"epoch": 1.53,
|
2355 |
+
"eval_gptsynthetic_accuracy": 0.9987933634992459,
|
2356 |
+
"eval_gptsynthetic_loss": 0.005168143659830093,
|
2357 |
+
"eval_gptsynthetic_runtime": 45.8689,
|
2358 |
+
"eval_gptsynthetic_samples_per_second": 72.271,
|
2359 |
+
"eval_gptsynthetic_steps_per_second": 7.238,
|
2360 |
+
"step": 3200
|
2361 |
+
},
|
2362 |
+
{
|
2363 |
+
"epoch": 1.53,
|
2364 |
+
"learning_rate": 7.361155419160121e-06,
|
2365 |
+
"loss": 0.3573,
|
2366 |
+
"step": 3210
|
2367 |
+
},
|
2368 |
+
{
|
2369 |
+
"epoch": 1.54,
|
2370 |
+
"learning_rate": 7.343575971960171e-06,
|
2371 |
+
"loss": 0.3677,
|
2372 |
+
"step": 3220
|
2373 |
+
},
|
2374 |
+
{
|
2375 |
+
"epoch": 1.54,
|
2376 |
+
"learning_rate": 7.325959319456386e-06,
|
2377 |
+
"loss": 0.365,
|
2378 |
+
"step": 3230
|
2379 |
+
},
|
2380 |
+
{
|
2381 |
+
"epoch": 1.55,
|
2382 |
+
"learning_rate": 7.308305741320907e-06,
|
2383 |
+
"loss": 0.3241,
|
2384 |
+
"step": 3240
|
2385 |
+
},
|
2386 |
+
{
|
2387 |
+
"epoch": 1.55,
|
2388 |
+
"learning_rate": 7.290615517812084e-06,
|
2389 |
+
"loss": 0.3639,
|
2390 |
+
"step": 3250
|
2391 |
+
},
|
2392 |
+
{
|
2393 |
+
"epoch": 1.56,
|
2394 |
+
"learning_rate": 7.27288892977003e-06,
|
2395 |
+
"loss": 0.3535,
|
2396 |
+
"step": 3260
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 1.56,
|
2400 |
+
"learning_rate": 7.255126258612163e-06,
|
2401 |
+
"loss": 0.364,
|
2402 |
+
"step": 3270
|
2403 |
+
},
|
2404 |
+
{
|
2405 |
+
"epoch": 1.56,
|
2406 |
+
"learning_rate": 7.237327786328732e-06,
|
2407 |
+
"loss": 0.3728,
|
2408 |
+
"step": 3280
|
2409 |
+
},
|
2410 |
+
{
|
2411 |
+
"epoch": 1.57,
|
2412 |
+
"learning_rate": 7.219493795478347e-06,
|
2413 |
+
"loss": 0.3598,
|
2414 |
+
"step": 3290
|
2415 |
+
},
|
2416 |
+
{
|
2417 |
+
"epoch": 1.57,
|
2418 |
+
"learning_rate": 7.201624569183492e-06,
|
2419 |
+
"loss": 0.3749,
|
2420 |
+
"step": 3300
|
2421 |
+
},
|
2422 |
+
{
|
2423 |
+
"epoch": 1.58,
|
2424 |
+
"learning_rate": 7.183720391126028e-06,
|
2425 |
+
"loss": 0.3361,
|
2426 |
+
"step": 3310
|
2427 |
+
},
|
2428 |
+
{
|
2429 |
+
"epoch": 1.58,
|
2430 |
+
"learning_rate": 7.16578154554269e-06,
|
2431 |
+
"loss": 0.3383,
|
2432 |
+
"step": 3320
|
2433 |
+
},
|
2434 |
+
{
|
2435 |
+
"epoch": 1.59,
|
2436 |
+
"learning_rate": 7.147808317220578e-06,
|
2437 |
+
"loss": 0.3424,
|
2438 |
+
"step": 3330
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 1.59,
|
2442 |
+
"learning_rate": 7.12980099149263e-06,
|
2443 |
+
"loss": 0.3627,
|
2444 |
+
"step": 3340
|
2445 |
+
},
|
2446 |
+
{
|
2447 |
+
"epoch": 1.6,
|
2448 |
+
"learning_rate": 7.111759854233096e-06,
|
2449 |
+
"loss": 0.3498,
|
2450 |
+
"step": 3350
|
2451 |
+
},
|
2452 |
+
{
|
2453 |
+
"epoch": 1.6,
|
2454 |
+
"learning_rate": 7.093685191853003e-06,
|
2455 |
+
"loss": 0.3838,
|
2456 |
+
"step": 3360
|
2457 |
+
},
|
2458 |
+
{
|
2459 |
+
"epoch": 1.61,
|
2460 |
+
"learning_rate": 7.075577291295599e-06,
|
2461 |
+
"loss": 0.3638,
|
2462 |
+
"step": 3370
|
2463 |
+
},
|
2464 |
+
{
|
2465 |
+
"epoch": 1.61,
|
2466 |
+
"learning_rate": 7.0574364400318014e-06,
|
2467 |
+
"loss": 0.3737,
|
2468 |
+
"step": 3380
|
2469 |
+
},
|
2470 |
+
{
|
2471 |
+
"epoch": 1.62,
|
2472 |
+
"learning_rate": 7.0392629260556425e-06,
|
2473 |
+
"loss": 0.367,
|
2474 |
+
"step": 3390
|
2475 |
+
},
|
2476 |
+
{
|
2477 |
+
"epoch": 1.62,
|
2478 |
+
"learning_rate": 7.021057037879681e-06,
|
2479 |
+
"loss": 0.3778,
|
2480 |
+
"step": 3400
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 1.62,
|
2484 |
+
"eval_webgpt_accuracy": 0.5845250255362615,
|
2485 |
+
"eval_webgpt_loss": 0.6846094727516174,
|
2486 |
+
"eval_webgpt_runtime": 63.3427,
|
2487 |
+
"eval_webgpt_samples_per_second": 61.822,
|
2488 |
+
"eval_webgpt_steps_per_second": 6.189,
|
2489 |
+
"step": 3400
|
2490 |
+
},
|
2491 |
+
{
|
2492 |
+
"epoch": 1.62,
|
2493 |
+
"eval_hfsummary_accuracy": 0.6690445243780794,
|
2494 |
+
"eval_hfsummary_loss": 0.6792688369750977,
|
2495 |
+
"eval_hfsummary_runtime": 1245.6911,
|
2496 |
+
"eval_hfsummary_samples_per_second": 26.558,
|
2497 |
+
"eval_hfsummary_steps_per_second": 2.656,
|
2498 |
+
"step": 3400
|
2499 |
+
},
|
2500 |
+
{
|
2501 |
+
"epoch": 1.62,
|
2502 |
+
"eval_gptsynthetic_accuracy": 0.9984917043740573,
|
2503 |
+
"eval_gptsynthetic_loss": 0.005154031794518232,
|
2504 |
+
"eval_gptsynthetic_runtime": 45.8488,
|
2505 |
+
"eval_gptsynthetic_samples_per_second": 72.303,
|
2506 |
+
"eval_gptsynthetic_steps_per_second": 7.241,
|
2507 |
+
"step": 3400
|
2508 |
+
},
|
2509 |
+
{
|
2510 |
+
"epoch": 1.63,
|
2511 |
+
"learning_rate": 7.002819064530437e-06,
|
2512 |
+
"loss": 0.3706,
|
2513 |
+
"step": 3410
|
2514 |
+
},
|
2515 |
+
{
|
2516 |
+
"epoch": 1.63,
|
2517 |
+
"learning_rate": 6.984549295543795e-06,
|
2518 |
+
"loss": 0.3743,
|
2519 |
+
"step": 3420
|
2520 |
+
},
|
2521 |
+
{
|
2522 |
+
"epoch": 1.64,
|
2523 |
+
"learning_rate": 6.966248020960404e-06,
|
2524 |
+
"loss": 0.3613,
|
2525 |
+
"step": 3430
|
2526 |
+
},
|
2527 |
+
{
|
2528 |
+
"epoch": 1.64,
|
2529 |
+
"learning_rate": 6.947915531321085e-06,
|
2530 |
+
"loss": 0.3375,
|
2531 |
+
"step": 3440
|
2532 |
+
},
|
2533 |
+
{
|
2534 |
+
"epoch": 1.65,
|
2535 |
+
"learning_rate": 6.929552117662211e-06,
|
2536 |
+
"loss": 0.3515,
|
2537 |
+
"step": 3450
|
2538 |
+
},
|
2539 |
+
{
|
2540 |
+
"epoch": 1.65,
|
2541 |
+
"learning_rate": 6.911158071511084e-06,
|
2542 |
+
"loss": 0.357,
|
2543 |
+
"step": 3460
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 1.66,
|
2547 |
+
"learning_rate": 6.892733684881313e-06,
|
2548 |
+
"loss": 0.3267,
|
2549 |
+
"step": 3470
|
2550 |
+
},
|
2551 |
+
{
|
2552 |
+
"epoch": 1.66,
|
2553 |
+
"learning_rate": 6.874279250268174e-06,
|
2554 |
+
"loss": 0.3562,
|
2555 |
+
"step": 3480
|
2556 |
+
},
|
2557 |
+
{
|
2558 |
+
"epoch": 1.67,
|
2559 |
+
"learning_rate": 6.85579506064397e-06,
|
2560 |
+
"loss": 0.361,
|
2561 |
+
"step": 3490
|
2562 |
+
},
|
2563 |
+
{
|
2564 |
+
"epoch": 1.67,
|
2565 |
+
"learning_rate": 6.837281409453376e-06,
|
2566 |
+
"loss": 0.3452,
|
2567 |
+
"step": 3500
|
2568 |
+
},
|
2569 |
+
{
|
2570 |
+
"epoch": 1.67,
|
2571 |
+
"learning_rate": 6.818738590608782e-06,
|
2572 |
+
"loss": 0.348,
|
2573 |
+
"step": 3510
|
2574 |
+
},
|
2575 |
+
{
|
2576 |
+
"epoch": 1.68,
|
2577 |
+
"learning_rate": 6.800166898485632e-06,
|
2578 |
+
"loss": 0.3496,
|
2579 |
+
"step": 3520
|
2580 |
+
},
|
2581 |
+
{
|
2582 |
+
"epoch": 1.68,
|
2583 |
+
"learning_rate": 6.781566627917738e-06,
|
2584 |
+
"loss": 0.3548,
|
2585 |
+
"step": 3530
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 1.69,
|
2589 |
+
"learning_rate": 6.762938074192615e-06,
|
2590 |
+
"loss": 0.3302,
|
2591 |
+
"step": 3540
|
2592 |
+
},
|
2593 |
+
{
|
2594 |
+
"epoch": 1.69,
|
2595 |
+
"learning_rate": 6.744281533046782e-06,
|
2596 |
+
"loss": 0.3447,
|
2597 |
+
"step": 3550
|
2598 |
+
},
|
2599 |
+
{
|
2600 |
+
"epoch": 1.7,
|
2601 |
+
"learning_rate": 6.725597300661071e-06,
|
2602 |
+
"loss": 0.3615,
|
2603 |
+
"step": 3560
|
2604 |
+
},
|
2605 |
+
{
|
2606 |
+
"epoch": 1.7,
|
2607 |
+
"learning_rate": 6.706885673655924e-06,
|
2608 |
+
"loss": 0.3263,
|
2609 |
+
"step": 3570
|
2610 |
+
},
|
2611 |
+
{
|
2612 |
+
"epoch": 1.71,
|
2613 |
+
"learning_rate": 6.688146949086688e-06,
|
2614 |
+
"loss": 0.3258,
|
2615 |
+
"step": 3580
|
2616 |
+
},
|
2617 |
+
{
|
2618 |
+
"epoch": 1.71,
|
2619 |
+
"learning_rate": 6.669381424438892e-06,
|
2620 |
+
"loss": 0.3483,
|
2621 |
+
"step": 3590
|
2622 |
+
},
|
2623 |
+
{
|
2624 |
+
"epoch": 1.72,
|
2625 |
+
"learning_rate": 6.650589397623528e-06,
|
2626 |
+
"loss": 0.3643,
|
2627 |
+
"step": 3600
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 1.72,
|
2631 |
+
"eval_webgpt_accuracy": 0.5893769152196119,
|
2632 |
+
"eval_webgpt_loss": 0.6877950429916382,
|
2633 |
+
"eval_webgpt_runtime": 63.3493,
|
2634 |
+
"eval_webgpt_samples_per_second": 61.816,
|
2635 |
+
"eval_webgpt_steps_per_second": 6.188,
|
2636 |
+
"step": 3600
|
2637 |
+
},
|
2638 |
+
{
|
2639 |
+
"epoch": 1.72,
|
2640 |
+
"eval_hfsummary_accuracy": 0.6664147749599492,
|
2641 |
+
"eval_hfsummary_loss": 0.7294792532920837,
|
2642 |
+
"eval_hfsummary_runtime": 1242.1345,
|
2643 |
+
"eval_hfsummary_samples_per_second": 26.634,
|
2644 |
+
"eval_hfsummary_steps_per_second": 2.664,
|
2645 |
+
"step": 3600
|
2646 |
+
},
|
2647 |
+
{
|
2648 |
+
"epoch": 1.72,
|
2649 |
+
"eval_gptsynthetic_accuracy": 0.9993966817496229,
|
2650 |
+
"eval_gptsynthetic_loss": 0.005264561623334885,
|
2651 |
+
"eval_gptsynthetic_runtime": 45.9664,
|
2652 |
+
"eval_gptsynthetic_samples_per_second": 72.118,
|
2653 |
+
"eval_gptsynthetic_steps_per_second": 7.223,
|
2654 |
+
"step": 3600
|
2655 |
+
},
|
2656 |
+
{
|
2657 |
+
"epoch": 1.72,
|
2658 |
+
"learning_rate": 6.6317711669723265e-06,
|
2659 |
+
"loss": 0.3443,
|
2660 |
+
"step": 3610
|
2661 |
+
},
|
2662 |
+
{
|
2663 |
+
"epoch": 1.73,
|
2664 |
+
"learning_rate": 6.61292703123301e-06,
|
2665 |
+
"loss": 0.3539,
|
2666 |
+
"step": 3620
|
2667 |
+
},
|
2668 |
+
{
|
2669 |
+
"epoch": 1.73,
|
2670 |
+
"learning_rate": 6.594057289564557e-06,
|
2671 |
+
"loss": 0.3123,
|
2672 |
+
"step": 3630
|
2673 |
+
},
|
2674 |
+
{
|
2675 |
+
"epoch": 1.74,
|
2676 |
+
"learning_rate": 6.575162241532453e-06,
|
2677 |
+
"loss": 0.3047,
|
2678 |
+
"step": 3640
|
2679 |
+
},
|
2680 |
+
{
|
2681 |
+
"epoch": 1.74,
|
2682 |
+
"learning_rate": 6.556242187103934e-06,
|
2683 |
+
"loss": 0.3687,
|
2684 |
+
"step": 3650
|
2685 |
+
},
|
2686 |
+
{
|
2687 |
+
"epoch": 1.75,
|
2688 |
+
"learning_rate": 6.53729742664322e-06,
|
2689 |
+
"loss": 0.3652,
|
2690 |
+
"step": 3660
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 1.75,
|
2694 |
+
"learning_rate": 6.518328260906753e-06,
|
2695 |
+
"loss": 0.3493,
|
2696 |
+
"step": 3670
|
2697 |
+
},
|
2698 |
+
{
|
2699 |
+
"epoch": 1.76,
|
2700 |
+
"learning_rate": 6.49933499103842e-06,
|
2701 |
+
"loss": 0.3637,
|
2702 |
+
"step": 3680
|
2703 |
+
},
|
2704 |
+
{
|
2705 |
+
"epoch": 1.76,
|
2706 |
+
"learning_rate": 6.480317918564767e-06,
|
2707 |
+
"loss": 0.3464,
|
2708 |
+
"step": 3690
|
2709 |
+
},
|
2710 |
+
{
|
2711 |
+
"epoch": 1.77,
|
2712 |
+
"learning_rate": 6.4612773453902244e-06,
|
2713 |
+
"loss": 0.3376,
|
2714 |
+
"step": 3700
|
2715 |
+
},
|
2716 |
+
{
|
2717 |
+
"epoch": 1.77,
|
2718 |
+
"learning_rate": 6.4422135737923e-06,
|
2719 |
+
"loss": 0.3473,
|
2720 |
+
"step": 3710
|
2721 |
+
},
|
2722 |
+
{
|
2723 |
+
"epoch": 1.77,
|
2724 |
+
"learning_rate": 6.423126906416789e-06,
|
2725 |
+
"loss": 0.3356,
|
2726 |
+
"step": 3720
|
2727 |
+
},
|
2728 |
+
{
|
2729 |
+
"epoch": 1.78,
|
2730 |
+
"learning_rate": 6.40401764627297e-06,
|
2731 |
+
"loss": 0.3374,
|
2732 |
+
"step": 3730
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 1.78,
|
2736 |
+
"learning_rate": 6.384886096728789e-06,
|
2737 |
+
"loss": 0.3544,
|
2738 |
+
"step": 3740
|
2739 |
+
},
|
2740 |
+
{
|
2741 |
+
"epoch": 1.79,
|
2742 |
+
"learning_rate": 6.365732561506044e-06,
|
2743 |
+
"loss": 0.3361,
|
2744 |
+
"step": 3750
|
2745 |
+
},
|
2746 |
+
{
|
2747 |
+
"epoch": 1.79,
|
2748 |
+
"learning_rate": 6.346557344675568e-06,
|
2749 |
+
"loss": 0.3689,
|
2750 |
+
"step": 3760
|
2751 |
+
},
|
2752 |
+
{
|
2753 |
+
"epoch": 1.8,
|
2754 |
+
"learning_rate": 6.327360750652402e-06,
|
2755 |
+
"loss": 0.359,
|
2756 |
+
"step": 3770
|
2757 |
+
},
|
2758 |
+
{
|
2759 |
+
"epoch": 1.8,
|
2760 |
+
"learning_rate": 6.308143084190954e-06,
|
2761 |
+
"loss": 0.3423,
|
2762 |
+
"step": 3780
|
2763 |
+
},
|
2764 |
+
{
|
2765 |
+
"epoch": 1.81,
|
2766 |
+
"learning_rate": 6.2889046503801685e-06,
|
2767 |
+
"loss": 0.3392,
|
2768 |
+
"step": 3790
|
2769 |
+
},
|
2770 |
+
{
|
2771 |
+
"epoch": 1.81,
|
2772 |
+
"learning_rate": 6.269645754638682e-06,
|
2773 |
+
"loss": 0.342,
|
2774 |
+
"step": 3800
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 1.81,
|
2778 |
+
"eval_webgpt_accuracy": 0.5842696629213483,
|
2779 |
+
"eval_webgpt_loss": 0.6836753487586975,
|
2780 |
+
"eval_webgpt_runtime": 63.4162,
|
2781 |
+
"eval_webgpt_samples_per_second": 61.751,
|
2782 |
+
"eval_webgpt_steps_per_second": 6.181,
|
2783 |
+
"step": 3800
|
2784 |
+
},
|
2785 |
+
{
|
2786 |
+
"epoch": 1.81,
|
2787 |
+
"eval_hfsummary_accuracy": 0.6713720037481486,
|
2788 |
+
"eval_hfsummary_loss": 0.7460022568702698,
|
2789 |
+
"eval_hfsummary_runtime": 1243.8848,
|
2790 |
+
"eval_hfsummary_samples_per_second": 26.597,
|
2791 |
+
"eval_hfsummary_steps_per_second": 2.66,
|
2792 |
+
"step": 3800
|
2793 |
+
},
|
2794 |
+
{
|
2795 |
+
"epoch": 1.81,
|
2796 |
+
"eval_gptsynthetic_accuracy": 0.9987933634992459,
|
2797 |
+
"eval_gptsynthetic_loss": 0.005401162896305323,
|
2798 |
+
"eval_gptsynthetic_runtime": 46.0774,
|
2799 |
+
"eval_gptsynthetic_samples_per_second": 71.944,
|
2800 |
+
"eval_gptsynthetic_steps_per_second": 7.205,
|
2801 |
+
"step": 3800
|
2802 |
+
},
|
2803 |
+
{
|
2804 |
+
"epoch": 1.82,
|
2805 |
+
"learning_rate": 6.250366702709971e-06,
|
2806 |
+
"loss": 0.3678,
|
2807 |
+
"step": 3810
|
2808 |
+
},
|
2809 |
+
{
|
2810 |
+
"epoch": 1.82,
|
2811 |
+
"learning_rate": 6.231067800657502e-06,
|
2812 |
+
"loss": 0.3446,
|
2813 |
+
"step": 3820
|
2814 |
+
},
|
2815 |
+
{
|
2816 |
+
"epoch": 1.83,
|
2817 |
+
"learning_rate": 6.211749354859871e-06,
|
2818 |
+
"loss": 0.3247,
|
2819 |
+
"step": 3830
|
2820 |
+
},
|
2821 |
+
{
|
2822 |
+
"epoch": 1.83,
|
2823 |
+
"learning_rate": 6.192411672005937e-06,
|
2824 |
+
"loss": 0.3639,
|
2825 |
+
"step": 3840
|
2826 |
+
},
|
2827 |
+
{
|
2828 |
+
"epoch": 1.84,
|
2829 |
+
"learning_rate": 6.173055059089958e-06,
|
2830 |
+
"loss": 0.3581,
|
2831 |
+
"step": 3850
|
2832 |
+
},
|
2833 |
+
{
|
2834 |
+
"epoch": 1.84,
|
2835 |
+
"learning_rate": 6.1536798234067175e-06,
|
2836 |
+
"loss": 0.3423,
|
2837 |
+
"step": 3860
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 1.85,
|
2841 |
+
"learning_rate": 6.134286272546639e-06,
|
2842 |
+
"loss": 0.3623,
|
2843 |
+
"step": 3870
|
2844 |
+
},
|
2845 |
+
{
|
2846 |
+
"epoch": 1.85,
|
2847 |
+
"learning_rate": 6.11487471439091e-06,
|
2848 |
+
"loss": 0.321,
|
2849 |
+
"step": 3880
|
2850 |
+
},
|
2851 |
+
{
|
2852 |
+
"epoch": 1.86,
|
2853 |
+
"learning_rate": 6.0954454571065925e-06,
|
2854 |
+
"loss": 0.3363,
|
2855 |
+
"step": 3890
|
2856 |
+
},
|
2857 |
+
{
|
2858 |
+
"epoch": 1.86,
|
2859 |
+
"learning_rate": 6.0759988091417266e-06,
|
2860 |
+
"loss": 0.3392,
|
2861 |
+
"step": 3900
|
2862 |
+
},
|
2863 |
+
{
|
2864 |
+
"epoch": 1.87,
|
2865 |
+
"learning_rate": 6.0565350792204406e-06,
|
2866 |
+
"loss": 0.3458,
|
2867 |
+
"step": 3910
|
2868 |
+
},
|
2869 |
+
{
|
2870 |
+
"epoch": 1.87,
|
2871 |
+
"learning_rate": 6.037054576338044e-06,
|
2872 |
+
"loss": 0.3742,
|
2873 |
+
"step": 3920
|
2874 |
+
},
|
2875 |
+
{
|
2876 |
+
"epoch": 1.87,
|
2877 |
+
"learning_rate": 6.0175576097561265e-06,
|
2878 |
+
"loss": 0.3518,
|
2879 |
+
"step": 3930
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 1.88,
|
2883 |
+
"learning_rate": 5.998044488997645e-06,
|
2884 |
+
"loss": 0.3489,
|
2885 |
+
"step": 3940
|
2886 |
+
},
|
2887 |
+
{
|
2888 |
+
"epoch": 1.88,
|
2889 |
+
"learning_rate": 5.9785155238420135e-06,
|
2890 |
+
"loss": 0.3411,
|
2891 |
+
"step": 3950
|
2892 |
+
},
|
2893 |
+
{
|
2894 |
+
"epoch": 1.89,
|
2895 |
+
"learning_rate": 5.958971024320179e-06,
|
2896 |
+
"loss": 0.3326,
|
2897 |
+
"step": 3960
|
2898 |
+
},
|
2899 |
+
{
|
2900 |
+
"epoch": 1.89,
|
2901 |
+
"learning_rate": 5.9394113007097045e-06,
|
2902 |
+
"loss": 0.322,
|
2903 |
+
"step": 3970
|
2904 |
+
},
|
2905 |
+
{
|
2906 |
+
"epoch": 1.9,
|
2907 |
+
"learning_rate": 5.919836663529845e-06,
|
2908 |
+
"loss": 0.3343,
|
2909 |
+
"step": 3980
|
2910 |
+
},
|
2911 |
+
{
|
2912 |
+
"epoch": 1.9,
|
2913 |
+
"learning_rate": 5.900247423536611e-06,
|
2914 |
+
"loss": 0.3551,
|
2915 |
+
"step": 3990
|
2916 |
+
},
|
2917 |
+
{
|
2918 |
+
"epoch": 1.91,
|
2919 |
+
"learning_rate": 5.880643891717842e-06,
|
2920 |
+
"loss": 0.3344,
|
2921 |
+
"step": 4000
|
2922 |
+
},
|
2923 |
+
{
|
2924 |
+
"epoch": 1.91,
|
2925 |
+
"eval_webgpt_accuracy": 0.5906537282941777,
|
2926 |
+
"eval_webgpt_loss": 0.6790869832038879,
|
2927 |
+
"eval_webgpt_runtime": 63.367,
|
2928 |
+
"eval_webgpt_samples_per_second": 61.799,
|
2929 |
+
"eval_webgpt_steps_per_second": 6.186,
|
2930 |
+
"step": 4000
|
2931 |
+
},
|
2932 |
+
{
|
2933 |
+
"epoch": 1.91,
|
2934 |
+
"eval_hfsummary_accuracy": 0.6683795302723453,
|
2935 |
+
"eval_hfsummary_loss": 0.7165785431861877,
|
2936 |
+
"eval_hfsummary_runtime": 1243.3678,
|
2937 |
+
"eval_hfsummary_samples_per_second": 26.608,
|
2938 |
+
"eval_hfsummary_steps_per_second": 2.661,
|
2939 |
+
"step": 4000
|
2940 |
+
},
|
2941 |
+
{
|
2942 |
+
"epoch": 1.91,
|
2943 |
+
"eval_gptsynthetic_accuracy": 0.9984917043740573,
|
2944 |
+
"eval_gptsynthetic_loss": 0.005581920500844717,
|
2945 |
+
"eval_gptsynthetic_runtime": 46.0581,
|
2946 |
+
"eval_gptsynthetic_samples_per_second": 71.974,
|
2947 |
+
"eval_gptsynthetic_steps_per_second": 7.208,
|
2948 |
+
"step": 4000
|
2949 |
+
}
|
2950 |
+
],
|
2951 |
+
"max_steps": 4192,
|
2952 |
+
"num_train_epochs": 2,
|
2953 |
+
"total_flos": 2.4953197931002634e+17,
|
2954 |
+
"trial_name": null,
|
2955 |
+
"trial_params": null
|
2956 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:30ca00b0e391e47b7926352fa66f9123794a61f02fe1fcfa905a2af50c701baf
|
3 |
+
size 3439
|