Upload 9 files
Browse files- optimizer.pt +1 -1
- pytorch_model.bin +1 -1
- rng_state.pth +2 -2
- scaler.pt +1 -1
- scheduler.pt +1 -1
- trainer_state.json +1377 -72
- training_args.bin +1 -1
optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 2490593669
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8bc4f81e10c73c7ac61c3457069fbbe7bd2da9c195af5e95d48242d813a3bf1b
|
3 |
size 2490593669
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1262168365
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ccb46c1363e00e7ba2c503b6625e15f6b52767b331922f0e118c099984e94b3f
|
3 |
size 1262168365
|
rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:64dff988ed5a64f29c0ad329d02de826f427335e5b6422e636e4d8d72905d91b
|
3 |
+
size 14575
|
scaler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 557
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f56e2d94fbf475c8ee7bb541a0c78739d0af9b9df1c40b0d2dbe8978e561b1ce
|
3 |
size 557
|
scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 627
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:93eea870ecabb225c120efec3800c13df934b00089cdfdaa458d79acaf790660
|
3 |
size 627
|
trainer_state.json
CHANGED
@@ -1,181 +1,1486 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch": 0.
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
10 |
{
|
11 |
"epoch": 0.02,
|
12 |
"learning_rate": 1e-05,
|
13 |
-
"loss": 0.
|
14 |
"step": 2
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.02,
|
18 |
-
"eval_loss": 0.
|
19 |
-
"eval_runtime":
|
20 |
-
"eval_samples_per_second":
|
21 |
-
"eval_steps_per_second":
|
22 |
-
"eval_wer": 0.
|
23 |
"step": 2
|
24 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
25 |
{
|
26 |
"epoch": 0.03,
|
27 |
"learning_rate": 2e-05,
|
28 |
-
"loss": 0.
|
29 |
"step": 4
|
30 |
},
|
31 |
{
|
32 |
"epoch": 0.03,
|
33 |
-
"eval_loss": 0.
|
34 |
-
"eval_runtime":
|
35 |
-
"eval_samples_per_second": 25.
|
36 |
-
"eval_steps_per_second": 3.
|
37 |
-
"eval_wer": 0.
|
38 |
"step": 4
|
39 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
40 |
{
|
41 |
"epoch": 0.05,
|
42 |
"learning_rate": 3e-05,
|
43 |
-
"loss": 0.
|
44 |
"step": 6
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.05,
|
48 |
-
"eval_loss": 0.
|
49 |
-
"eval_runtime": 146.
|
50 |
-
"eval_samples_per_second": 25.
|
51 |
-
"eval_steps_per_second": 3.
|
52 |
-
"eval_wer": 0.
|
53 |
"step": 6
|
54 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
55 |
{
|
56 |
"epoch": 0.06,
|
57 |
"learning_rate": 4e-05,
|
58 |
-
"loss": 0.
|
59 |
"step": 8
|
60 |
},
|
61 |
{
|
62 |
"epoch": 0.06,
|
63 |
-
"eval_loss": 0.
|
64 |
-
"eval_runtime":
|
65 |
-
"eval_samples_per_second": 25.
|
66 |
-
"eval_steps_per_second": 3.
|
67 |
-
"eval_wer": 0.
|
68 |
"step": 8
|
69 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
70 |
{
|
71 |
"epoch": 0.08,
|
72 |
"learning_rate": 5e-05,
|
73 |
-
"loss": 0.
|
74 |
"step": 10
|
75 |
},
|
76 |
{
|
77 |
"epoch": 0.08,
|
78 |
-
"eval_loss": 0.
|
79 |
-
"eval_runtime":
|
80 |
-
"eval_samples_per_second": 26.
|
81 |
-
"eval_steps_per_second": 3.
|
82 |
-
"eval_wer": 0.
|
83 |
"step": 10
|
84 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
85 |
{
|
86 |
"epoch": 0.09,
|
87 |
"learning_rate": 6e-05,
|
88 |
-
"loss": 0.
|
89 |
"step": 12
|
90 |
},
|
91 |
{
|
92 |
"epoch": 0.09,
|
93 |
-
"eval_loss": 0.
|
94 |
-
"eval_runtime":
|
95 |
-
"eval_samples_per_second": 25.
|
96 |
-
"eval_steps_per_second": 3.
|
97 |
-
"eval_wer": 0.
|
98 |
"step": 12
|
99 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
100 |
{
|
101 |
"epoch": 0.11,
|
102 |
"learning_rate": 7e-05,
|
103 |
-
"loss": 0.
|
104 |
"step": 14
|
105 |
},
|
106 |
{
|
107 |
"epoch": 0.11,
|
108 |
-
"eval_loss": 0.
|
109 |
-
"eval_runtime":
|
110 |
-
"eval_samples_per_second": 25.
|
111 |
-
"eval_steps_per_second": 3.
|
112 |
-
"eval_wer": 0.
|
113 |
"step": 14
|
114 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
115 |
{
|
116 |
"epoch": 0.12,
|
117 |
"learning_rate": 8e-05,
|
118 |
-
"loss": 0.
|
119 |
"step": 16
|
120 |
},
|
121 |
{
|
122 |
"epoch": 0.12,
|
123 |
-
"eval_loss": 0.
|
124 |
-
"eval_runtime":
|
125 |
-
"eval_samples_per_second":
|
126 |
-
"eval_steps_per_second": 3.
|
127 |
-
"eval_wer": 0.
|
128 |
"step": 16
|
129 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
130 |
{
|
131 |
"epoch": 0.14,
|
132 |
"learning_rate": 9e-05,
|
133 |
-
"loss": 0.
|
134 |
"step": 18
|
135 |
},
|
136 |
{
|
137 |
"epoch": 0.14,
|
138 |
-
"eval_loss": 0.
|
139 |
-
"eval_runtime":
|
140 |
-
"eval_samples_per_second": 25.
|
141 |
-
"eval_steps_per_second": 3.
|
142 |
-
"eval_wer": 0.
|
143 |
"step": 18
|
144 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
145 |
{
|
146 |
"epoch": 0.15,
|
147 |
"learning_rate": 0.0001,
|
148 |
-
"loss": 0.
|
149 |
"step": 20
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.15,
|
153 |
-
"eval_loss": 0.
|
154 |
-
"eval_runtime":
|
155 |
-
"eval_samples_per_second": 25.
|
156 |
-
"eval_steps_per_second": 3.
|
157 |
-
"eval_wer": 0.
|
158 |
"step": 20
|
159 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
160 |
{
|
161 |
"epoch": 0.17,
|
162 |
-
"learning_rate": 9.
|
163 |
-
"loss": 0.
|
164 |
"step": 22
|
165 |
},
|
166 |
{
|
167 |
"epoch": 0.17,
|
168 |
-
"eval_loss": 0.
|
169 |
-
"eval_runtime":
|
170 |
-
"eval_samples_per_second":
|
171 |
-
"eval_steps_per_second": 3.
|
172 |
-
"eval_wer": 0.
|
173 |
"step": 22
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
174 |
}
|
175 |
],
|
176 |
-
"max_steps":
|
177 |
-
"num_train_epochs":
|
178 |
-
"total_flos":
|
179 |
"trial_name": null,
|
180 |
"trial_params": null
|
181 |
}
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.7531219980787704,
|
5 |
+
"global_step": 98,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.01,
|
12 |
+
"learning_rate": 5e-06,
|
13 |
+
"loss": 0.1444,
|
14 |
+
"step": 1
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.01,
|
18 |
+
"eval_loss": 0.27758705615997314,
|
19 |
+
"eval_runtime": 210.178,
|
20 |
+
"eval_samples_per_second": 17.666,
|
21 |
+
"eval_steps_per_second": 2.212,
|
22 |
+
"eval_wer": 0.22257840465886627,
|
23 |
+
"step": 1
|
24 |
+
},
|
25 |
{
|
26 |
"epoch": 0.02,
|
27 |
"learning_rate": 1e-05,
|
28 |
+
"loss": 0.1768,
|
29 |
"step": 2
|
30 |
},
|
31 |
{
|
32 |
"epoch": 0.02,
|
33 |
+
"eval_loss": 0.27495622634887695,
|
34 |
+
"eval_runtime": 143.6977,
|
35 |
+
"eval_samples_per_second": 25.839,
|
36 |
+
"eval_steps_per_second": 3.236,
|
37 |
+
"eval_wer": 0.22263183202436287,
|
38 |
"step": 2
|
39 |
},
|
40 |
+
{
|
41 |
+
"epoch": 0.02,
|
42 |
+
"learning_rate": 1.5e-05,
|
43 |
+
"loss": 0.1344,
|
44 |
+
"step": 3
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.02,
|
48 |
+
"eval_loss": 0.26992350816726685,
|
49 |
+
"eval_runtime": 145.0666,
|
50 |
+
"eval_samples_per_second": 25.595,
|
51 |
+
"eval_steps_per_second": 3.205,
|
52 |
+
"eval_wer": 0.22097558369396805,
|
53 |
+
"step": 3
|
54 |
+
},
|
55 |
{
|
56 |
"epoch": 0.03,
|
57 |
"learning_rate": 2e-05,
|
58 |
+
"loss": 0.1347,
|
59 |
"step": 4
|
60 |
},
|
61 |
{
|
62 |
"epoch": 0.03,
|
63 |
+
"eval_loss": 0.2631027102470398,
|
64 |
+
"eval_runtime": 144.3292,
|
65 |
+
"eval_samples_per_second": 25.726,
|
66 |
+
"eval_steps_per_second": 3.222,
|
67 |
+
"eval_wer": 0.2198001816530427,
|
68 |
"step": 4
|
69 |
},
|
70 |
+
{
|
71 |
+
"epoch": 0.04,
|
72 |
+
"learning_rate": 2.5e-05,
|
73 |
+
"loss": 0.1401,
|
74 |
+
"step": 5
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.04,
|
78 |
+
"eval_loss": 0.2548554539680481,
|
79 |
+
"eval_runtime": 145.5653,
|
80 |
+
"eval_samples_per_second": 25.507,
|
81 |
+
"eval_steps_per_second": 3.194,
|
82 |
+
"eval_wer": 0.21825078805364106,
|
83 |
+
"step": 5
|
84 |
+
},
|
85 |
{
|
86 |
"epoch": 0.05,
|
87 |
"learning_rate": 3e-05,
|
88 |
+
"loss": 0.122,
|
89 |
"step": 6
|
90 |
},
|
91 |
{
|
92 |
"epoch": 0.05,
|
93 |
+
"eval_loss": 0.24481205642223358,
|
94 |
+
"eval_runtime": 146.1904,
|
95 |
+
"eval_samples_per_second": 25.398,
|
96 |
+
"eval_steps_per_second": 3.181,
|
97 |
+
"eval_wer": 0.21627397553026662,
|
98 |
"step": 6
|
99 |
},
|
100 |
+
{
|
101 |
+
"epoch": 0.05,
|
102 |
+
"learning_rate": 3.5e-05,
|
103 |
+
"loss": 0.1098,
|
104 |
+
"step": 7
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.05,
|
108 |
+
"eval_loss": 0.23431816697120667,
|
109 |
+
"eval_runtime": 143.3943,
|
110 |
+
"eval_samples_per_second": 25.894,
|
111 |
+
"eval_steps_per_second": 3.243,
|
112 |
+
"eval_wer": 0.21317518833146337,
|
113 |
+
"step": 7
|
114 |
+
},
|
115 |
{
|
116 |
"epoch": 0.06,
|
117 |
"learning_rate": 4e-05,
|
118 |
+
"loss": 0.0777,
|
119 |
"step": 8
|
120 |
},
|
121 |
{
|
122 |
"epoch": 0.06,
|
123 |
+
"eval_loss": 0.2239282727241516,
|
124 |
+
"eval_runtime": 144.1351,
|
125 |
+
"eval_samples_per_second": 25.761,
|
126 |
+
"eval_steps_per_second": 3.226,
|
127 |
+
"eval_wer": 0.21002297376716353,
|
128 |
"step": 8
|
129 |
},
|
130 |
+
{
|
131 |
+
"epoch": 0.07,
|
132 |
+
"learning_rate": 4.5e-05,
|
133 |
+
"loss": 0.0987,
|
134 |
+
"step": 9
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.07,
|
138 |
+
"eval_loss": 0.2142292559146881,
|
139 |
+
"eval_runtime": 142.2093,
|
140 |
+
"eval_samples_per_second": 26.109,
|
141 |
+
"eval_steps_per_second": 3.27,
|
142 |
+
"eval_wer": 0.20703104129935354,
|
143 |
+
"step": 9
|
144 |
+
},
|
145 |
{
|
146 |
"epoch": 0.08,
|
147 |
"learning_rate": 5e-05,
|
148 |
+
"loss": 0.0827,
|
149 |
"step": 10
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.08,
|
153 |
+
"eval_loss": 0.2058483362197876,
|
154 |
+
"eval_runtime": 139.25,
|
155 |
+
"eval_samples_per_second": 26.664,
|
156 |
+
"eval_steps_per_second": 3.339,
|
157 |
+
"eval_wer": 0.20409253619704013,
|
158 |
"step": 10
|
159 |
},
|
160 |
+
{
|
161 |
+
"epoch": 0.08,
|
162 |
+
"learning_rate": 5.500000000000001e-05,
|
163 |
+
"loss": 0.0657,
|
164 |
+
"step": 11
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.08,
|
168 |
+
"eval_loss": 0.19945959746837616,
|
169 |
+
"eval_runtime": 143.6254,
|
170 |
+
"eval_samples_per_second": 25.852,
|
171 |
+
"eval_steps_per_second": 3.238,
|
172 |
+
"eval_wer": 0.2003526206122776,
|
173 |
+
"step": 11
|
174 |
+
},
|
175 |
{
|
176 |
"epoch": 0.09,
|
177 |
"learning_rate": 6e-05,
|
178 |
+
"loss": 0.0464,
|
179 |
"step": 12
|
180 |
},
|
181 |
{
|
182 |
"epoch": 0.09,
|
183 |
+
"eval_loss": 0.19494406878948212,
|
184 |
+
"eval_runtime": 145.864,
|
185 |
+
"eval_samples_per_second": 25.455,
|
186 |
+
"eval_steps_per_second": 3.188,
|
187 |
+
"eval_wer": 0.19869637228188278,
|
188 |
"step": 12
|
189 |
},
|
190 |
+
{
|
191 |
+
"epoch": 0.1,
|
192 |
+
"learning_rate": 6.500000000000001e-05,
|
193 |
+
"loss": 0.0465,
|
194 |
+
"step": 13
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.1,
|
198 |
+
"eval_loss": 0.19232189655303955,
|
199 |
+
"eval_runtime": 145.6174,
|
200 |
+
"eval_samples_per_second": 25.498,
|
201 |
+
"eval_steps_per_second": 3.193,
|
202 |
+
"eval_wer": 0.19917721857135226,
|
203 |
+
"step": 13
|
204 |
+
},
|
205 |
{
|
206 |
"epoch": 0.11,
|
207 |
"learning_rate": 7e-05,
|
208 |
+
"loss": 0.0577,
|
209 |
"step": 14
|
210 |
},
|
211 |
{
|
212 |
"epoch": 0.11,
|
213 |
+
"eval_loss": 0.19074703752994537,
|
214 |
+
"eval_runtime": 145.4558,
|
215 |
+
"eval_samples_per_second": 25.527,
|
216 |
+
"eval_steps_per_second": 3.197,
|
217 |
+
"eval_wer": 0.19987177432280814,
|
218 |
"step": 14
|
219 |
},
|
220 |
+
{
|
221 |
+
"epoch": 0.12,
|
222 |
+
"learning_rate": 7.500000000000001e-05,
|
223 |
+
"loss": 0.0343,
|
224 |
+
"step": 15
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.12,
|
228 |
+
"eval_loss": 0.1901196986436844,
|
229 |
+
"eval_runtime": 145.104,
|
230 |
+
"eval_samples_per_second": 25.589,
|
231 |
+
"eval_steps_per_second": 3.205,
|
232 |
+
"eval_wer": 0.1995512101298285,
|
233 |
+
"step": 15
|
234 |
+
},
|
235 |
{
|
236 |
"epoch": 0.12,
|
237 |
"learning_rate": 8e-05,
|
238 |
+
"loss": 0.0496,
|
239 |
"step": 16
|
240 |
},
|
241 |
{
|
242 |
"epoch": 0.12,
|
243 |
+
"eval_loss": 0.19008365273475647,
|
244 |
+
"eval_runtime": 145.5007,
|
245 |
+
"eval_samples_per_second": 25.519,
|
246 |
+
"eval_steps_per_second": 3.196,
|
247 |
+
"eval_wer": 0.19992520168830474,
|
248 |
"step": 16
|
249 |
},
|
250 |
+
{
|
251 |
+
"epoch": 0.13,
|
252 |
+
"learning_rate": 8.5e-05,
|
253 |
+
"loss": 0.0394,
|
254 |
+
"step": 17
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.13,
|
258 |
+
"eval_loss": 0.19069527089595795,
|
259 |
+
"eval_runtime": 145.1656,
|
260 |
+
"eval_samples_per_second": 25.578,
|
261 |
+
"eval_steps_per_second": 3.203,
|
262 |
+
"eval_wer": 0.19976491959181492,
|
263 |
+
"step": 17
|
264 |
+
},
|
265 |
{
|
266 |
"epoch": 0.14,
|
267 |
"learning_rate": 9e-05,
|
268 |
+
"loss": 0.0389,
|
269 |
"step": 18
|
270 |
},
|
271 |
{
|
272 |
"epoch": 0.14,
|
273 |
+
"eval_loss": 0.19175583124160767,
|
274 |
+
"eval_runtime": 144.0309,
|
275 |
+
"eval_samples_per_second": 25.779,
|
276 |
+
"eval_steps_per_second": 3.228,
|
277 |
+
"eval_wer": 0.19864294491638618,
|
278 |
"step": 18
|
279 |
},
|
280 |
+
{
|
281 |
+
"epoch": 0.15,
|
282 |
+
"learning_rate": 9.5e-05,
|
283 |
+
"loss": 0.0375,
|
284 |
+
"step": 19
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.15,
|
288 |
+
"eval_loss": 0.1929420530796051,
|
289 |
+
"eval_runtime": 155.5361,
|
290 |
+
"eval_samples_per_second": 23.872,
|
291 |
+
"eval_steps_per_second": 2.99,
|
292 |
+
"eval_wer": 0.19869637228188278,
|
293 |
+
"step": 19
|
294 |
+
},
|
295 |
{
|
296 |
"epoch": 0.15,
|
297 |
"learning_rate": 0.0001,
|
298 |
+
"loss": 0.0416,
|
299 |
"step": 20
|
300 |
},
|
301 |
{
|
302 |
"epoch": 0.15,
|
303 |
+
"eval_loss": 0.19433951377868652,
|
304 |
+
"eval_runtime": 145.7557,
|
305 |
+
"eval_samples_per_second": 25.474,
|
306 |
+
"eval_steps_per_second": 3.19,
|
307 |
+
"eval_wer": 0.19842923545439975,
|
308 |
"step": 20
|
309 |
},
|
310 |
+
{
|
311 |
+
"epoch": 0.16,
|
312 |
+
"learning_rate": 9.909090909090911e-05,
|
313 |
+
"loss": 0.049,
|
314 |
+
"step": 21
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.16,
|
318 |
+
"eval_loss": 0.19554230570793152,
|
319 |
+
"eval_runtime": 144.8351,
|
320 |
+
"eval_samples_per_second": 25.636,
|
321 |
+
"eval_steps_per_second": 3.211,
|
322 |
+
"eval_wer": 0.19687984185499813,
|
323 |
+
"step": 21
|
324 |
+
},
|
325 |
{
|
326 |
"epoch": 0.17,
|
327 |
+
"learning_rate": 9.818181818181818e-05,
|
328 |
+
"loss": 0.0312,
|
329 |
"step": 22
|
330 |
},
|
331 |
{
|
332 |
"epoch": 0.17,
|
333 |
+
"eval_loss": 0.1970851719379425,
|
334 |
+
"eval_runtime": 142.3937,
|
335 |
+
"eval_samples_per_second": 26.076,
|
336 |
+
"eval_steps_per_second": 3.266,
|
337 |
+
"eval_wer": 0.19479617460063045,
|
338 |
"step": 22
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.18,
|
342 |
+
"learning_rate": 9.727272727272728e-05,
|
343 |
+
"loss": 0.0455,
|
344 |
+
"step": 23
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.18,
|
348 |
+
"eval_loss": 0.19858291745185852,
|
349 |
+
"eval_runtime": 140.2626,
|
350 |
+
"eval_samples_per_second": 26.472,
|
351 |
+
"eval_steps_per_second": 3.315,
|
352 |
+
"eval_wer": 0.19330020836672543,
|
353 |
+
"step": 23
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.18,
|
357 |
+
"learning_rate": 9.636363636363637e-05,
|
358 |
+
"loss": 0.0532,
|
359 |
+
"step": 24
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.18,
|
363 |
+
"eval_loss": 0.19979843497276306,
|
364 |
+
"eval_runtime": 140.2969,
|
365 |
+
"eval_samples_per_second": 26.465,
|
366 |
+
"eval_steps_per_second": 3.314,
|
367 |
+
"eval_wer": 0.19105625901586792,
|
368 |
+
"step": 24
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.19,
|
372 |
+
"learning_rate": 9.545454545454546e-05,
|
373 |
+
"loss": 0.0442,
|
374 |
+
"step": 25
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.19,
|
378 |
+
"eval_loss": 0.20092029869556427,
|
379 |
+
"eval_runtime": 143.5469,
|
380 |
+
"eval_samples_per_second": 25.866,
|
381 |
+
"eval_steps_per_second": 3.239,
|
382 |
+
"eval_wer": 0.19052198536090184,
|
383 |
+
"step": 25
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.2,
|
387 |
+
"learning_rate": 9.454545454545455e-05,
|
388 |
+
"loss": 0.0339,
|
389 |
+
"step": 26
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.2,
|
393 |
+
"eval_loss": 0.2023477554321289,
|
394 |
+
"eval_runtime": 152.7348,
|
395 |
+
"eval_samples_per_second": 24.31,
|
396 |
+
"eval_steps_per_second": 3.044,
|
397 |
+
"eval_wer": 0.1893465833199765,
|
398 |
+
"step": 26
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.21,
|
402 |
+
"learning_rate": 9.363636363636364e-05,
|
403 |
+
"loss": 0.0346,
|
404 |
+
"step": 27
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.21,
|
408 |
+
"eval_loss": 0.20320531725883484,
|
409 |
+
"eval_runtime": 147.0625,
|
410 |
+
"eval_samples_per_second": 25.248,
|
411 |
+
"eval_steps_per_second": 3.162,
|
412 |
+
"eval_wer": 0.18907944649249345,
|
413 |
+
"step": 27
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 0.22,
|
417 |
+
"learning_rate": 9.272727272727273e-05,
|
418 |
+
"loss": 0.0405,
|
419 |
+
"step": 28
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 0.22,
|
423 |
+
"eval_loss": 0.20423929393291473,
|
424 |
+
"eval_runtime": 147.2712,
|
425 |
+
"eval_samples_per_second": 25.212,
|
426 |
+
"eval_steps_per_second": 3.157,
|
427 |
+
"eval_wer": 0.18875888229951382,
|
428 |
+
"step": 28
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 0.22,
|
432 |
+
"learning_rate": 9.181818181818183e-05,
|
433 |
+
"loss": 0.0273,
|
434 |
+
"step": 29
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.22,
|
438 |
+
"eval_loss": 0.20516164600849152,
|
439 |
+
"eval_runtime": 147.0321,
|
440 |
+
"eval_samples_per_second": 25.253,
|
441 |
+
"eval_steps_per_second": 3.163,
|
442 |
+
"eval_wer": 0.18811775391355454,
|
443 |
+
"step": 29
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.23,
|
447 |
+
"learning_rate": 9.090909090909092e-05,
|
448 |
+
"loss": 0.0303,
|
449 |
+
"step": 30
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 0.23,
|
453 |
+
"eval_loss": 0.20583093166351318,
|
454 |
+
"eval_runtime": 147.1797,
|
455 |
+
"eval_samples_per_second": 25.228,
|
456 |
+
"eval_steps_per_second": 3.159,
|
457 |
+
"eval_wer": 0.18843831810653416,
|
458 |
+
"step": 30
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.24,
|
462 |
+
"learning_rate": 9e-05,
|
463 |
+
"loss": 0.0433,
|
464 |
+
"step": 31
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.24,
|
468 |
+
"eval_loss": 0.2059250921010971,
|
469 |
+
"eval_runtime": 149.5581,
|
470 |
+
"eval_samples_per_second": 24.826,
|
471 |
+
"eval_steps_per_second": 3.109,
|
472 |
+
"eval_wer": 0.1880108991825613,
|
473 |
+
"step": 31
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.25,
|
477 |
+
"learning_rate": 8.90909090909091e-05,
|
478 |
+
"loss": 0.0172,
|
479 |
+
"step": 32
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.25,
|
483 |
+
"eval_loss": 0.20622014999389648,
|
484 |
+
"eval_runtime": 147.3034,
|
485 |
+
"eval_samples_per_second": 25.206,
|
486 |
+
"eval_steps_per_second": 3.157,
|
487 |
+
"eval_wer": 0.18774376235507828,
|
488 |
+
"step": 32
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 0.25,
|
492 |
+
"learning_rate": 8.818181818181818e-05,
|
493 |
+
"loss": 0.0417,
|
494 |
+
"step": 33
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.25,
|
498 |
+
"eval_loss": 0.20588700473308563,
|
499 |
+
"eval_runtime": 147.9347,
|
500 |
+
"eval_samples_per_second": 25.099,
|
501 |
+
"eval_steps_per_second": 3.143,
|
502 |
+
"eval_wer": 0.18710263396911897,
|
503 |
+
"step": 33
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 0.26,
|
507 |
+
"learning_rate": 8.727272727272727e-05,
|
508 |
+
"loss": 0.0305,
|
509 |
+
"step": 34
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 0.26,
|
513 |
+
"eval_loss": 0.2053101509809494,
|
514 |
+
"eval_runtime": 147.604,
|
515 |
+
"eval_samples_per_second": 25.155,
|
516 |
+
"eval_steps_per_second": 3.15,
|
517 |
+
"eval_wer": 0.18624779612117326,
|
518 |
+
"step": 34
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 0.27,
|
522 |
+
"learning_rate": 8.636363636363637e-05,
|
523 |
+
"loss": 0.0294,
|
524 |
+
"step": 35
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 0.27,
|
528 |
+
"eval_loss": 0.2048512101173401,
|
529 |
+
"eval_runtime": 149.6988,
|
530 |
+
"eval_samples_per_second": 24.803,
|
531 |
+
"eval_steps_per_second": 3.106,
|
532 |
+
"eval_wer": 0.18624779612117326,
|
533 |
+
"step": 35
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 0.28,
|
537 |
+
"learning_rate": 8.545454545454545e-05,
|
538 |
+
"loss": 0.0344,
|
539 |
+
"step": 36
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 0.28,
|
543 |
+
"eval_loss": 0.20456022024154663,
|
544 |
+
"eval_runtime": 150.2353,
|
545 |
+
"eval_samples_per_second": 24.715,
|
546 |
+
"eval_steps_per_second": 3.095,
|
547 |
+
"eval_wer": 0.1863546508521665,
|
548 |
+
"step": 36
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.28,
|
552 |
+
"learning_rate": 8.454545454545455e-05,
|
553 |
+
"loss": 0.0352,
|
554 |
+
"step": 37
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 0.28,
|
558 |
+
"eval_loss": 0.20410528779029846,
|
559 |
+
"eval_runtime": 147.7984,
|
560 |
+
"eval_samples_per_second": 25.122,
|
561 |
+
"eval_steps_per_second": 3.146,
|
562 |
+
"eval_wer": 0.18539295827322755,
|
563 |
+
"step": 37
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.29,
|
567 |
+
"learning_rate": 8.363636363636364e-05,
|
568 |
+
"loss": 0.0379,
|
569 |
+
"step": 38
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.29,
|
573 |
+
"eval_loss": 0.2038663774728775,
|
574 |
+
"eval_runtime": 147.8438,
|
575 |
+
"eval_samples_per_second": 25.114,
|
576 |
+
"eval_steps_per_second": 3.145,
|
577 |
+
"eval_wer": 0.1857135224662072,
|
578 |
+
"step": 38
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.3,
|
582 |
+
"learning_rate": 8.272727272727273e-05,
|
583 |
+
"loss": 0.0413,
|
584 |
+
"step": 39
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.3,
|
588 |
+
"eval_loss": 0.20388050377368927,
|
589 |
+
"eval_runtime": 147.3701,
|
590 |
+
"eval_samples_per_second": 25.195,
|
591 |
+
"eval_steps_per_second": 3.155,
|
592 |
+
"eval_wer": 0.18427098359779878,
|
593 |
+
"step": 39
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 0.31,
|
597 |
+
"learning_rate": 8.181818181818183e-05,
|
598 |
+
"loss": 0.0317,
|
599 |
+
"step": 40
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 0.31,
|
603 |
+
"eval_loss": 0.20368847250938416,
|
604 |
+
"eval_runtime": 147.9612,
|
605 |
+
"eval_samples_per_second": 25.094,
|
606 |
+
"eval_steps_per_second": 3.143,
|
607 |
+
"eval_wer": 0.18384356467382593,
|
608 |
+
"step": 40
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 0.32,
|
612 |
+
"learning_rate": 8.090909090909092e-05,
|
613 |
+
"loss": 0.0406,
|
614 |
+
"step": 41
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 0.32,
|
618 |
+
"eval_loss": 0.20367969572544098,
|
619 |
+
"eval_runtime": 148.8012,
|
620 |
+
"eval_samples_per_second": 24.953,
|
621 |
+
"eval_steps_per_second": 3.125,
|
622 |
+
"eval_wer": 0.18330929101885987,
|
623 |
+
"step": 41
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 0.32,
|
627 |
+
"learning_rate": 8e-05,
|
628 |
+
"loss": 0.039,
|
629 |
+
"step": 42
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 0.32,
|
633 |
+
"eval_loss": 0.20352540910243988,
|
634 |
+
"eval_runtime": 148.6131,
|
635 |
+
"eval_samples_per_second": 24.984,
|
636 |
+
"eval_steps_per_second": 3.129,
|
637 |
+
"eval_wer": 0.18256130790190736,
|
638 |
+
"step": 42
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 0.33,
|
642 |
+
"learning_rate": 7.90909090909091e-05,
|
643 |
+
"loss": 0.0418,
|
644 |
+
"step": 43
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 0.33,
|
648 |
+
"eval_loss": 0.20341253280639648,
|
649 |
+
"eval_runtime": 148.4125,
|
650 |
+
"eval_samples_per_second": 25.018,
|
651 |
+
"eval_steps_per_second": 3.133,
|
652 |
+
"eval_wer": 0.18229417107442433,
|
653 |
+
"step": 43
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.34,
|
657 |
+
"learning_rate": 7.818181818181818e-05,
|
658 |
+
"loss": 0.0424,
|
659 |
+
"step": 44
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 0.34,
|
663 |
+
"eval_loss": 0.20320875942707062,
|
664 |
+
"eval_runtime": 148.7795,
|
665 |
+
"eval_samples_per_second": 24.956,
|
666 |
+
"eval_steps_per_second": 3.125,
|
667 |
+
"eval_wer": 0.18202703424694128,
|
668 |
+
"step": 44
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.35,
|
672 |
+
"learning_rate": 7.727272727272727e-05,
|
673 |
+
"loss": 0.0262,
|
674 |
+
"step": 45
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.35,
|
678 |
+
"eval_loss": 0.20320919156074524,
|
679 |
+
"eval_runtime": 149.2065,
|
680 |
+
"eval_samples_per_second": 24.885,
|
681 |
+
"eval_steps_per_second": 3.116,
|
682 |
+
"eval_wer": 0.18170647005396165,
|
683 |
+
"step": 45
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 0.35,
|
687 |
+
"learning_rate": 7.636363636363637e-05,
|
688 |
+
"loss": 0.0333,
|
689 |
+
"step": 46
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.35,
|
693 |
+
"eval_loss": 0.20314393937587738,
|
694 |
+
"eval_runtime": 148.5201,
|
695 |
+
"eval_samples_per_second": 25.0,
|
696 |
+
"eval_steps_per_second": 3.131,
|
697 |
+
"eval_wer": 0.18181332478495485,
|
698 |
+
"step": 46
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 0.36,
|
702 |
+
"learning_rate": 7.545454545454545e-05,
|
703 |
+
"loss": 0.0217,
|
704 |
+
"step": 47
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 0.36,
|
708 |
+
"eval_loss": 0.20316116511821747,
|
709 |
+
"eval_runtime": 149.0026,
|
710 |
+
"eval_samples_per_second": 24.919,
|
711 |
+
"eval_steps_per_second": 3.121,
|
712 |
+
"eval_wer": 0.18186675215045145,
|
713 |
+
"step": 47
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 0.37,
|
717 |
+
"learning_rate": 7.454545454545455e-05,
|
718 |
+
"loss": 0.0324,
|
719 |
+
"step": 48
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 0.37,
|
723 |
+
"eval_loss": 0.20341037213802338,
|
724 |
+
"eval_runtime": 151.4038,
|
725 |
+
"eval_samples_per_second": 24.524,
|
726 |
+
"eval_steps_per_second": 3.071,
|
727 |
+
"eval_wer": 0.18175989741945825,
|
728 |
+
"step": 48
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 0.38,
|
732 |
+
"learning_rate": 7.363636363636364e-05,
|
733 |
+
"loss": 0.0438,
|
734 |
+
"step": 49
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 0.38,
|
738 |
+
"eval_loss": 0.20362479984760284,
|
739 |
+
"eval_runtime": 147.9041,
|
740 |
+
"eval_samples_per_second": 25.104,
|
741 |
+
"eval_steps_per_second": 3.144,
|
742 |
+
"eval_wer": 0.18154618795747182,
|
743 |
+
"step": 49
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 0.38,
|
747 |
+
"learning_rate": 7.272727272727273e-05,
|
748 |
+
"loss": 0.0435,
|
749 |
+
"step": 50
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 0.38,
|
753 |
+
"eval_loss": 0.20351320505142212,
|
754 |
+
"eval_runtime": 150.6257,
|
755 |
+
"eval_samples_per_second": 24.651,
|
756 |
+
"eval_steps_per_second": 3.087,
|
757 |
+
"eval_wer": 0.18192017951594808,
|
758 |
+
"step": 50
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.39,
|
762 |
+
"learning_rate": 7.181818181818182e-05,
|
763 |
+
"loss": 0.0386,
|
764 |
+
"step": 51
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 0.39,
|
768 |
+
"eval_loss": 0.20342397689819336,
|
769 |
+
"eval_runtime": 149.3494,
|
770 |
+
"eval_samples_per_second": 24.861,
|
771 |
+
"eval_steps_per_second": 3.114,
|
772 |
+
"eval_wer": 0.18202703424694128,
|
773 |
+
"step": 51
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 0.4,
|
777 |
+
"learning_rate": 7.090909090909092e-05,
|
778 |
+
"loss": 0.034,
|
779 |
+
"step": 52
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.4,
|
783 |
+
"eval_loss": 0.20335783064365387,
|
784 |
+
"eval_runtime": 148.8221,
|
785 |
+
"eval_samples_per_second": 24.949,
|
786 |
+
"eval_steps_per_second": 3.125,
|
787 |
+
"eval_wer": 0.18245445317091413,
|
788 |
+
"step": 52
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 0.41,
|
792 |
+
"learning_rate": 7e-05,
|
793 |
+
"loss": 0.0308,
|
794 |
+
"step": 53
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 0.41,
|
798 |
+
"eval_loss": 0.20360249280929565,
|
799 |
+
"eval_runtime": 148.86,
|
800 |
+
"eval_samples_per_second": 24.943,
|
801 |
+
"eval_steps_per_second": 3.124,
|
802 |
+
"eval_wer": 0.18250788053641076,
|
803 |
+
"step": 53
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 0.41,
|
807 |
+
"learning_rate": 6.90909090909091e-05,
|
808 |
+
"loss": 0.0334,
|
809 |
+
"step": 54
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 0.41,
|
813 |
+
"eval_loss": 0.2034262865781784,
|
814 |
+
"eval_runtime": 149.0445,
|
815 |
+
"eval_samples_per_second": 24.912,
|
816 |
+
"eval_steps_per_second": 3.12,
|
817 |
+
"eval_wer": 0.1828284447293904,
|
818 |
+
"step": 54
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 0.42,
|
822 |
+
"learning_rate": 6.818181818181818e-05,
|
823 |
+
"loss": 0.0334,
|
824 |
+
"step": 55
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 0.42,
|
828 |
+
"eval_loss": 0.20335279405117035,
|
829 |
+
"eval_runtime": 149.9535,
|
830 |
+
"eval_samples_per_second": 24.761,
|
831 |
+
"eval_steps_per_second": 3.101,
|
832 |
+
"eval_wer": 0.18240102580541753,
|
833 |
+
"step": 55
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 0.43,
|
837 |
+
"learning_rate": 6.727272727272727e-05,
|
838 |
+
"loss": 0.0502,
|
839 |
+
"step": 56
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 0.43,
|
843 |
+
"eval_loss": 0.20316840708255768,
|
844 |
+
"eval_runtime": 150.4496,
|
845 |
+
"eval_samples_per_second": 24.679,
|
846 |
+
"eval_steps_per_second": 3.091,
|
847 |
+
"eval_wer": 0.18256130790190736,
|
848 |
+
"step": 56
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 0.44,
|
852 |
+
"learning_rate": 6.636363636363638e-05,
|
853 |
+
"loss": 0.0341,
|
854 |
+
"step": 57
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 0.44,
|
858 |
+
"eval_loss": 0.20272959768772125,
|
859 |
+
"eval_runtime": 149.4094,
|
860 |
+
"eval_samples_per_second": 24.851,
|
861 |
+
"eval_steps_per_second": 3.112,
|
862 |
+
"eval_wer": 0.1821873163434311,
|
863 |
+
"step": 57
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.45,
|
867 |
+
"learning_rate": 6.545454545454546e-05,
|
868 |
+
"loss": 0.0595,
|
869 |
+
"step": 58
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 0.45,
|
873 |
+
"eval_loss": 0.20200660824775696,
|
874 |
+
"eval_runtime": 150.4398,
|
875 |
+
"eval_samples_per_second": 24.681,
|
876 |
+
"eval_steps_per_second": 3.091,
|
877 |
+
"eval_wer": 0.18245445317091413,
|
878 |
+
"step": 58
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 0.45,
|
882 |
+
"learning_rate": 6.454545454545455e-05,
|
883 |
+
"loss": 0.0337,
|
884 |
+
"step": 59
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.45,
|
888 |
+
"eval_loss": 0.2010081559419632,
|
889 |
+
"eval_runtime": 149.7401,
|
890 |
+
"eval_samples_per_second": 24.796,
|
891 |
+
"eval_steps_per_second": 3.105,
|
892 |
+
"eval_wer": 0.18304215419137682,
|
893 |
+
"step": 59
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 0.46,
|
897 |
+
"learning_rate": 6.363636363636364e-05,
|
898 |
+
"loss": 0.0504,
|
899 |
+
"step": 60
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 0.46,
|
903 |
+
"eval_loss": 0.20022302865982056,
|
904 |
+
"eval_runtime": 150.2278,
|
905 |
+
"eval_samples_per_second": 24.716,
|
906 |
+
"eval_steps_per_second": 3.095,
|
907 |
+
"eval_wer": 0.18341614574985307,
|
908 |
+
"step": 60
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 0.47,
|
912 |
+
"learning_rate": 6.272727272727273e-05,
|
913 |
+
"loss": 0.0298,
|
914 |
+
"step": 61
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 0.47,
|
918 |
+
"eval_loss": 0.19969654083251953,
|
919 |
+
"eval_runtime": 149.9979,
|
920 |
+
"eval_samples_per_second": 24.754,
|
921 |
+
"eval_steps_per_second": 3.1,
|
922 |
+
"eval_wer": 0.18336271838435647,
|
923 |
+
"step": 61
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 0.48,
|
927 |
+
"learning_rate": 6.181818181818182e-05,
|
928 |
+
"loss": 0.0216,
|
929 |
+
"step": 62
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 0.48,
|
933 |
+
"eval_loss": 0.19924180209636688,
|
934 |
+
"eval_runtime": 149.7227,
|
935 |
+
"eval_samples_per_second": 24.799,
|
936 |
+
"eval_steps_per_second": 3.106,
|
937 |
+
"eval_wer": 0.18411070150130898,
|
938 |
+
"step": 62
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 0.48,
|
942 |
+
"learning_rate": 6.090909090909091e-05,
|
943 |
+
"loss": 0.0262,
|
944 |
+
"step": 63
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 0.48,
|
948 |
+
"eval_loss": 0.19875453412532806,
|
949 |
+
"eval_runtime": 151.0436,
|
950 |
+
"eval_samples_per_second": 24.582,
|
951 |
+
"eval_steps_per_second": 3.079,
|
952 |
+
"eval_wer": 0.18464497515627504,
|
953 |
+
"step": 63
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 0.49,
|
957 |
+
"learning_rate": 6e-05,
|
958 |
+
"loss": 0.012,
|
959 |
+
"step": 64
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 0.49,
|
963 |
+
"eval_loss": 0.19849465787410736,
|
964 |
+
"eval_runtime": 150.8245,
|
965 |
+
"eval_samples_per_second": 24.618,
|
966 |
+
"eval_steps_per_second": 3.083,
|
967 |
+
"eval_wer": 0.18528610354223432,
|
968 |
+
"step": 64
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.5,
|
972 |
+
"learning_rate": 5.90909090909091e-05,
|
973 |
+
"loss": 0.026,
|
974 |
+
"step": 65
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 0.5,
|
978 |
+
"eval_loss": 0.19816958904266357,
|
979 |
+
"eval_runtime": 152.5115,
|
980 |
+
"eval_samples_per_second": 24.346,
|
981 |
+
"eval_steps_per_second": 3.049,
|
982 |
+
"eval_wer": 0.185873804562697,
|
983 |
+
"step": 65
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 0.51,
|
987 |
+
"learning_rate": 5.818181818181818e-05,
|
988 |
+
"loss": 0.0382,
|
989 |
+
"step": 66
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.51,
|
993 |
+
"eval_loss": 0.19807423651218414,
|
994 |
+
"eval_runtime": 154.494,
|
995 |
+
"eval_samples_per_second": 24.033,
|
996 |
+
"eval_steps_per_second": 3.01,
|
997 |
+
"eval_wer": 0.18528610354223432,
|
998 |
+
"step": 66
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 0.51,
|
1002 |
+
"learning_rate": 5.727272727272728e-05,
|
1003 |
+
"loss": 0.0284,
|
1004 |
+
"step": 67
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 0.51,
|
1008 |
+
"eval_loss": 0.1981343924999237,
|
1009 |
+
"eval_runtime": 151.1093,
|
1010 |
+
"eval_samples_per_second": 24.572,
|
1011 |
+
"eval_steps_per_second": 3.077,
|
1012 |
+
"eval_wer": 0.1849121119837581,
|
1013 |
+
"step": 67
|
1014 |
+
},
|
1015 |
+
{
|
1016 |
+
"epoch": 0.52,
|
1017 |
+
"learning_rate": 5.636363636363636e-05,
|
1018 |
+
"loss": 0.0273,
|
1019 |
+
"step": 68
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 0.52,
|
1023 |
+
"eval_loss": 0.19824360311031342,
|
1024 |
+
"eval_runtime": 151.8867,
|
1025 |
+
"eval_samples_per_second": 24.446,
|
1026 |
+
"eval_steps_per_second": 3.061,
|
1027 |
+
"eval_wer": 0.18421755623230218,
|
1028 |
+
"step": 68
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 0.53,
|
1032 |
+
"learning_rate": 5.545454545454546e-05,
|
1033 |
+
"loss": 0.0248,
|
1034 |
+
"step": 69
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 0.53,
|
1038 |
+
"eval_loss": 0.19854041934013367,
|
1039 |
+
"eval_runtime": 150.4994,
|
1040 |
+
"eval_samples_per_second": 24.671,
|
1041 |
+
"eval_steps_per_second": 3.09,
|
1042 |
+
"eval_wer": 0.1844312656942886,
|
1043 |
+
"step": 69
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 0.54,
|
1047 |
+
"learning_rate": 5.4545454545454546e-05,
|
1048 |
+
"loss": 0.0315,
|
1049 |
+
"step": 70
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 0.54,
|
1053 |
+
"eval_loss": 0.19896994531154633,
|
1054 |
+
"eval_runtime": 150.9218,
|
1055 |
+
"eval_samples_per_second": 24.602,
|
1056 |
+
"eval_steps_per_second": 3.081,
|
1057 |
+
"eval_wer": 0.18405727413581235,
|
1058 |
+
"step": 70
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 0.55,
|
1062 |
+
"learning_rate": 5.363636363636364e-05,
|
1063 |
+
"loss": 0.0443,
|
1064 |
+
"step": 71
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 0.55,
|
1068 |
+
"eval_loss": 0.1993587613105774,
|
1069 |
+
"eval_runtime": 151.464,
|
1070 |
+
"eval_samples_per_second": 24.514,
|
1071 |
+
"eval_steps_per_second": 3.07,
|
1072 |
+
"eval_wer": 0.1835764278463429,
|
1073 |
+
"step": 71
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.55,
|
1077 |
+
"learning_rate": 5.272727272727272e-05,
|
1078 |
+
"loss": 0.0473,
|
1079 |
+
"step": 72
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 0.55,
|
1083 |
+
"eval_loss": 0.1994282454252243,
|
1084 |
+
"eval_runtime": 151.2775,
|
1085 |
+
"eval_samples_per_second": 24.544,
|
1086 |
+
"eval_steps_per_second": 3.074,
|
1087 |
+
"eval_wer": 0.18379013730832933,
|
1088 |
+
"step": 72
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 0.56,
|
1092 |
+
"learning_rate": 5.181818181818182e-05,
|
1093 |
+
"loss": 0.0366,
|
1094 |
+
"step": 73
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.56,
|
1098 |
+
"eval_loss": 0.19968333840370178,
|
1099 |
+
"eval_runtime": 151.4205,
|
1100 |
+
"eval_samples_per_second": 24.521,
|
1101 |
+
"eval_steps_per_second": 3.071,
|
1102 |
+
"eval_wer": 0.18298872682588022,
|
1103 |
+
"step": 73
|
1104 |
+
},
|
1105 |
+
{
|
1106 |
+
"epoch": 0.57,
|
1107 |
+
"learning_rate": 5.090909090909091e-05,
|
1108 |
+
"loss": 0.0337,
|
1109 |
+
"step": 74
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 0.57,
|
1113 |
+
"eval_loss": 0.19987201690673828,
|
1114 |
+
"eval_runtime": 151.4399,
|
1115 |
+
"eval_samples_per_second": 24.518,
|
1116 |
+
"eval_steps_per_second": 3.071,
|
1117 |
+
"eval_wer": 0.18309558155687344,
|
1118 |
+
"step": 74
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 0.58,
|
1122 |
+
"learning_rate": 5e-05,
|
1123 |
+
"loss": 0.0304,
|
1124 |
+
"step": 75
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 0.58,
|
1128 |
+
"eval_loss": 0.2001255452632904,
|
1129 |
+
"eval_runtime": 152.4344,
|
1130 |
+
"eval_samples_per_second": 24.358,
|
1131 |
+
"eval_steps_per_second": 3.05,
|
1132 |
+
"eval_wer": 0.18346957311534967,
|
1133 |
+
"step": 75
|
1134 |
+
},
|
1135 |
+
{
|
1136 |
+
"epoch": 0.58,
|
1137 |
+
"learning_rate": 4.909090909090909e-05,
|
1138 |
+
"loss": 0.0362,
|
1139 |
+
"step": 76
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 0.58,
|
1143 |
+
"eval_loss": 0.20033375918865204,
|
1144 |
+
"eval_runtime": 151.5547,
|
1145 |
+
"eval_samples_per_second": 24.499,
|
1146 |
+
"eval_steps_per_second": 3.068,
|
1147 |
+
"eval_wer": 0.18293529946038362,
|
1148 |
+
"step": 76
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 0.59,
|
1152 |
+
"learning_rate": 4.8181818181818186e-05,
|
1153 |
+
"loss": 0.0482,
|
1154 |
+
"step": 77
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 0.59,
|
1158 |
+
"eval_loss": 0.20038414001464844,
|
1159 |
+
"eval_runtime": 151.9532,
|
1160 |
+
"eval_samples_per_second": 24.435,
|
1161 |
+
"eval_steps_per_second": 3.06,
|
1162 |
+
"eval_wer": 0.18250788053641076,
|
1163 |
+
"step": 77
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 0.6,
|
1167 |
+
"learning_rate": 4.7272727272727275e-05,
|
1168 |
+
"loss": 0.0362,
|
1169 |
+
"step": 78
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 0.6,
|
1173 |
+
"eval_loss": 0.20029421150684357,
|
1174 |
+
"eval_runtime": 153.417,
|
1175 |
+
"eval_samples_per_second": 24.202,
|
1176 |
+
"eval_steps_per_second": 3.031,
|
1177 |
+
"eval_wer": 0.1828284447293904,
|
1178 |
+
"step": 78
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.61,
|
1182 |
+
"learning_rate": 4.636363636363636e-05,
|
1183 |
+
"loss": 0.0301,
|
1184 |
+
"step": 79
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 0.61,
|
1188 |
+
"eval_loss": 0.20029130578041077,
|
1189 |
+
"eval_runtime": 151.1667,
|
1190 |
+
"eval_samples_per_second": 24.562,
|
1191 |
+
"eval_steps_per_second": 3.076,
|
1192 |
+
"eval_wer": 0.18293529946038362,
|
1193 |
+
"step": 79
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 0.61,
|
1197 |
+
"learning_rate": 4.545454545454546e-05,
|
1198 |
+
"loss": 0.031,
|
1199 |
+
"step": 80
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.61,
|
1203 |
+
"eval_loss": 0.200118288397789,
|
1204 |
+
"eval_runtime": 152.5561,
|
1205 |
+
"eval_samples_per_second": 24.339,
|
1206 |
+
"eval_steps_per_second": 3.048,
|
1207 |
+
"eval_wer": 0.18330929101885987,
|
1208 |
+
"step": 80
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 0.62,
|
1212 |
+
"learning_rate": 4.454545454545455e-05,
|
1213 |
+
"loss": 0.0377,
|
1214 |
+
"step": 81
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 0.62,
|
1218 |
+
"eval_loss": 0.1998458057641983,
|
1219 |
+
"eval_runtime": 152.057,
|
1220 |
+
"eval_samples_per_second": 24.418,
|
1221 |
+
"eval_steps_per_second": 3.058,
|
1222 |
+
"eval_wer": 0.18234759843992093,
|
1223 |
+
"step": 81
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 0.63,
|
1227 |
+
"learning_rate": 4.3636363636363636e-05,
|
1228 |
+
"loss": 0.0372,
|
1229 |
+
"step": 82
|
1230 |
+
},
|
1231 |
+
{
|
1232 |
+
"epoch": 0.63,
|
1233 |
+
"eval_loss": 0.19953805208206177,
|
1234 |
+
"eval_runtime": 152.6899,
|
1235 |
+
"eval_samples_per_second": 24.317,
|
1236 |
+
"eval_steps_per_second": 3.045,
|
1237 |
+
"eval_wer": 0.18256130790190736,
|
1238 |
+
"step": 82
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 0.64,
|
1242 |
+
"learning_rate": 4.2727272727272724e-05,
|
1243 |
+
"loss": 0.0234,
|
1244 |
+
"step": 83
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 0.64,
|
1248 |
+
"eval_loss": 0.19939135015010834,
|
1249 |
+
"eval_runtime": 152.3549,
|
1250 |
+
"eval_samples_per_second": 24.371,
|
1251 |
+
"eval_steps_per_second": 3.052,
|
1252 |
+
"eval_wer": 0.18202703424694128,
|
1253 |
+
"step": 83
|
1254 |
+
},
|
1255 |
+
{
|
1256 |
+
"epoch": 0.65,
|
1257 |
+
"learning_rate": 4.181818181818182e-05,
|
1258 |
+
"loss": 0.0539,
|
1259 |
+
"step": 84
|
1260 |
+
},
|
1261 |
+
{
|
1262 |
+
"epoch": 0.65,
|
1263 |
+
"eval_loss": 0.19920985400676727,
|
1264 |
+
"eval_runtime": 151.8121,
|
1265 |
+
"eval_samples_per_second": 24.458,
|
1266 |
+
"eval_steps_per_second": 3.063,
|
1267 |
+
"eval_wer": 0.18154618795747182,
|
1268 |
+
"step": 84
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 0.65,
|
1272 |
+
"learning_rate": 4.0909090909090915e-05,
|
1273 |
+
"loss": 0.0446,
|
1274 |
+
"step": 85
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 0.65,
|
1278 |
+
"eval_loss": 0.19903059303760529,
|
1279 |
+
"eval_runtime": 153.3501,
|
1280 |
+
"eval_samples_per_second": 24.213,
|
1281 |
+
"eval_steps_per_second": 3.032,
|
1282 |
+
"eval_wer": 0.18181332478495485,
|
1283 |
+
"step": 85
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.66,
|
1287 |
+
"learning_rate": 4e-05,
|
1288 |
+
"loss": 0.0373,
|
1289 |
+
"step": 86
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 0.66,
|
1293 |
+
"eval_loss": 0.19874274730682373,
|
1294 |
+
"eval_runtime": 153.2828,
|
1295 |
+
"eval_samples_per_second": 24.223,
|
1296 |
+
"eval_steps_per_second": 3.034,
|
1297 |
+
"eval_wer": 0.18154618795747182,
|
1298 |
+
"step": 86
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 0.67,
|
1302 |
+
"learning_rate": 3.909090909090909e-05,
|
1303 |
+
"loss": 0.0347,
|
1304 |
+
"step": 87
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.67,
|
1308 |
+
"eval_loss": 0.1984863579273224,
|
1309 |
+
"eval_runtime": 153.5045,
|
1310 |
+
"eval_samples_per_second": 24.188,
|
1311 |
+
"eval_steps_per_second": 3.029,
|
1312 |
+
"eval_wer": 0.1814393332264786,
|
1313 |
+
"step": 87
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"epoch": 0.68,
|
1317 |
+
"learning_rate": 3.818181818181819e-05,
|
1318 |
+
"loss": 0.0477,
|
1319 |
+
"step": 88
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 0.68,
|
1323 |
+
"eval_loss": 0.19823090732097626,
|
1324 |
+
"eval_runtime": 153.2343,
|
1325 |
+
"eval_samples_per_second": 24.231,
|
1326 |
+
"eval_steps_per_second": 3.035,
|
1327 |
+
"eval_wer": 0.18186675215045145,
|
1328 |
+
"step": 88
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 0.68,
|
1332 |
+
"learning_rate": 3.7272727272727276e-05,
|
1333 |
+
"loss": 0.0365,
|
1334 |
+
"step": 89
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 0.68,
|
1338 |
+
"eval_loss": 0.1978393793106079,
|
1339 |
+
"eval_runtime": 153.4002,
|
1340 |
+
"eval_samples_per_second": 24.205,
|
1341 |
+
"eval_steps_per_second": 3.031,
|
1342 |
+
"eval_wer": 0.1814393332264786,
|
1343 |
+
"step": 89
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 0.69,
|
1347 |
+
"learning_rate": 3.6363636363636364e-05,
|
1348 |
+
"loss": 0.0255,
|
1349 |
+
"step": 90
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 0.69,
|
1353 |
+
"eval_loss": 0.1975974142551422,
|
1354 |
+
"eval_runtime": 153.949,
|
1355 |
+
"eval_samples_per_second": 24.118,
|
1356 |
+
"eval_steps_per_second": 3.02,
|
1357 |
+
"eval_wer": 0.18101191430250574,
|
1358 |
+
"step": 90
|
1359 |
+
},
|
1360 |
+
{
|
1361 |
+
"epoch": 0.7,
|
1362 |
+
"learning_rate": 3.545454545454546e-05,
|
1363 |
+
"loss": 0.0205,
|
1364 |
+
"step": 91
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 0.7,
|
1368 |
+
"eval_loss": 0.19747106730937958,
|
1369 |
+
"eval_runtime": 153.3875,
|
1370 |
+
"eval_samples_per_second": 24.207,
|
1371 |
+
"eval_steps_per_second": 3.032,
|
1372 |
+
"eval_wer": 0.18063792274402948,
|
1373 |
+
"step": 91
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 0.71,
|
1377 |
+
"learning_rate": 3.454545454545455e-05,
|
1378 |
+
"loss": 0.053,
|
1379 |
+
"step": 92
|
1380 |
+
},
|
1381 |
+
{
|
1382 |
+
"epoch": 0.71,
|
1383 |
+
"eval_loss": 0.19707681238651276,
|
1384 |
+
"eval_runtime": 151.9804,
|
1385 |
+
"eval_samples_per_second": 24.431,
|
1386 |
+
"eval_steps_per_second": 3.06,
|
1387 |
+
"eval_wer": 0.18031735855104986,
|
1388 |
+
"step": 92
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.71,
|
1392 |
+
"learning_rate": 3.3636363636363636e-05,
|
1393 |
+
"loss": 0.0188,
|
1394 |
+
"step": 93
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 0.71,
|
1398 |
+
"eval_loss": 0.19678995013237,
|
1399 |
+
"eval_runtime": 156.2042,
|
1400 |
+
"eval_samples_per_second": 23.77,
|
1401 |
+
"eval_steps_per_second": 2.977,
|
1402 |
+
"eval_wer": 0.18053106801303628,
|
1403 |
+
"step": 93
|
1404 |
+
},
|
1405 |
+
{
|
1406 |
+
"epoch": 0.72,
|
1407 |
+
"learning_rate": 3.272727272727273e-05,
|
1408 |
+
"loss": 0.018,
|
1409 |
+
"step": 94
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.72,
|
1413 |
+
"eval_loss": 0.1968337893486023,
|
1414 |
+
"eval_runtime": 151.8471,
|
1415 |
+
"eval_samples_per_second": 24.452,
|
1416 |
+
"eval_steps_per_second": 3.062,
|
1417 |
+
"eval_wer": 0.18015707645456003,
|
1418 |
+
"step": 94
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 0.73,
|
1422 |
+
"learning_rate": 3.181818181818182e-05,
|
1423 |
+
"loss": 0.0135,
|
1424 |
+
"step": 95
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 0.73,
|
1428 |
+
"eval_loss": 0.19669164717197418,
|
1429 |
+
"eval_runtime": 153.6158,
|
1430 |
+
"eval_samples_per_second": 24.171,
|
1431 |
+
"eval_steps_per_second": 3.027,
|
1432 |
+
"eval_wer": 0.18042421328204306,
|
1433 |
+
"step": 95
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 0.74,
|
1437 |
+
"learning_rate": 3.090909090909091e-05,
|
1438 |
+
"loss": 0.0099,
|
1439 |
+
"step": 96
|
1440 |
+
},
|
1441 |
+
{
|
1442 |
+
"epoch": 0.74,
|
1443 |
+
"eval_loss": 0.1966254860162735,
|
1444 |
+
"eval_runtime": 153.1791,
|
1445 |
+
"eval_samples_per_second": 24.24,
|
1446 |
+
"eval_steps_per_second": 3.036,
|
1447 |
+
"eval_wer": 0.18010364908906343,
|
1448 |
+
"step": 96
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 0.75,
|
1452 |
+
"learning_rate": 3e-05,
|
1453 |
+
"loss": 0.0283,
|
1454 |
+
"step": 97
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 0.75,
|
1458 |
+
"eval_loss": 0.19664821028709412,
|
1459 |
+
"eval_runtime": 152.9205,
|
1460 |
+
"eval_samples_per_second": 24.281,
|
1461 |
+
"eval_steps_per_second": 3.041,
|
1462 |
+
"eval_wer": 0.18042421328204306,
|
1463 |
+
"step": 97
|
1464 |
+
},
|
1465 |
+
{
|
1466 |
+
"epoch": 0.75,
|
1467 |
+
"learning_rate": 2.909090909090909e-05,
|
1468 |
+
"loss": 0.0345,
|
1469 |
+
"step": 98
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 0.75,
|
1473 |
+
"eval_loss": 0.19662834703922272,
|
1474 |
+
"eval_runtime": 153.3485,
|
1475 |
+
"eval_samples_per_second": 24.213,
|
1476 |
+
"eval_steps_per_second": 3.032,
|
1477 |
+
"eval_wer": 0.1799433669925736,
|
1478 |
+
"step": 98
|
1479 |
}
|
1480 |
],
|
1481 |
+
"max_steps": 130,
|
1482 |
+
"num_train_epochs": 1,
|
1483 |
+
"total_flos": 2.245784209200768e+18,
|
1484 |
"trial_name": null,
|
1485 |
"trial_params": null
|
1486 |
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3323
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:157b26c01ed722d6f5c5a4023fabc27a6bacfd61d977a05834d3adf2dfe8a9ac
|
3 |
size 3323
|