DewiBrynJones
commited on
Commit
•
ddfd34c
1
Parent(s):
39b2f20
End of training
Browse files- README.md +3 -1
- all_results.json +15 -0
- eval_results.json +9 -0
- runs/Jun26_08-42-00_b5ff05b1c2c9/events.out.tfevents.1719407922.b5ff05b1c2c9.31.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +1082 -0
README.md
CHANGED
@@ -2,6 +2,8 @@
|
|
2 |
license: apache-2.0
|
3 |
base_model: facebook/wav2vec2-large-xlsr-53
|
4 |
tags:
|
|
|
|
|
5 |
- generated_from_trainer
|
6 |
metrics:
|
7 |
- wer
|
@@ -15,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# wav2vec2-xlsr-53-ft-btb-ccv-enc-cy
|
17 |
|
18 |
-
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on
|
19 |
It achieves the following results on the evaluation set:
|
20 |
- Loss: 0.4095
|
21 |
- Wer: 0.3271
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: facebook/wav2vec2-large-xlsr-53
|
4 |
tags:
|
5 |
+
- automatic-speech-recognition
|
6 |
+
- DewiBrynJones/banc-trawsgrifiadau-bangor-clean-with-ccv
|
7 |
- generated_from_trainer
|
8 |
metrics:
|
9 |
- wer
|
|
|
17 |
|
18 |
# wav2vec2-xlsr-53-ft-btb-ccv-enc-cy
|
19 |
|
20 |
+
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the DEWIBRYNJONES/BANC-TRAWSGRIFIADAU-BANGOR-CLEAN-WITH-CCV - DEFAULT dataset.
|
21 |
It achieves the following results on the evaluation set:
|
22 |
- Loss: 0.4095
|
23 |
- Wer: 0.3271
|
all_results.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.9357336430507162,
|
3 |
+
"eval_loss": 0.409473717212677,
|
4 |
+
"eval_runtime": 147.313,
|
5 |
+
"eval_samples": 5656,
|
6 |
+
"eval_samples_per_second": 38.394,
|
7 |
+
"eval_steps_per_second": 4.799,
|
8 |
+
"eval_wer": 0.3270690568278474,
|
9 |
+
"total_flos": 1.1255918428180738e+19,
|
10 |
+
"train_loss": 0.7365739318847656,
|
11 |
+
"train_runtime": 19473.5524,
|
12 |
+
"train_samples": 41326,
|
13 |
+
"train_samples_per_second": 4.108,
|
14 |
+
"train_steps_per_second": 0.514
|
15 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.9357336430507162,
|
3 |
+
"eval_loss": 0.409473717212677,
|
4 |
+
"eval_runtime": 147.313,
|
5 |
+
"eval_samples": 5656,
|
6 |
+
"eval_samples_per_second": 38.394,
|
7 |
+
"eval_steps_per_second": 4.799,
|
8 |
+
"eval_wer": 0.3270690568278474
|
9 |
+
}
|
runs/Jun26_08-42-00_b5ff05b1c2c9/events.out.tfevents.1719407922.b5ff05b1c2c9.31.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7dc754c2fbdec3308e9a76e572e132d646e204d217a81300d72cb7aba427f5b1
|
3 |
+
size 406
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.9357336430507162,
|
3 |
+
"total_flos": 1.1255918428180738e+19,
|
4 |
+
"train_loss": 0.7365739318847656,
|
5 |
+
"train_runtime": 19473.5524,
|
6 |
+
"train_samples": 41326,
|
7 |
+
"train_samples_per_second": 4.108,
|
8 |
+
"train_steps_per_second": 0.514
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1082 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.9357336430507162,
|
5 |
+
"eval_steps": 100,
|
6 |
+
"global_step": 10000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.019357336430507164,
|
13 |
+
"eval_loss": 3.547485828399658,
|
14 |
+
"eval_runtime": 144.8623,
|
15 |
+
"eval_samples_per_second": 39.044,
|
16 |
+
"eval_steps_per_second": 4.88,
|
17 |
+
"eval_wer": 1.0,
|
18 |
+
"step": 100
|
19 |
+
},
|
20 |
+
{
|
21 |
+
"epoch": 0.03871467286101433,
|
22 |
+
"eval_loss": 3.0259251594543457,
|
23 |
+
"eval_runtime": 142.9174,
|
24 |
+
"eval_samples_per_second": 39.575,
|
25 |
+
"eval_steps_per_second": 4.947,
|
26 |
+
"eval_wer": 1.0,
|
27 |
+
"step": 200
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.05807200929152149,
|
31 |
+
"eval_loss": 3.0886833667755127,
|
32 |
+
"eval_runtime": 141.7177,
|
33 |
+
"eval_samples_per_second": 39.91,
|
34 |
+
"eval_steps_per_second": 4.989,
|
35 |
+
"eval_wer": 1.0,
|
36 |
+
"step": 300
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 0.07742934572202866,
|
40 |
+
"eval_loss": 2.3821566104888916,
|
41 |
+
"eval_runtime": 143.4279,
|
42 |
+
"eval_samples_per_second": 39.434,
|
43 |
+
"eval_steps_per_second": 4.929,
|
44 |
+
"eval_wer": 0.9971915071175234,
|
45 |
+
"step": 400
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.09678668215253582,
|
49 |
+
"grad_norm": 3.033390760421753,
|
50 |
+
"learning_rate": 0.0002982,
|
51 |
+
"loss": 4.0938,
|
52 |
+
"step": 500
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.09678668215253582,
|
56 |
+
"eval_loss": 1.4546788930892944,
|
57 |
+
"eval_runtime": 142.7727,
|
58 |
+
"eval_samples_per_second": 39.615,
|
59 |
+
"eval_steps_per_second": 4.952,
|
60 |
+
"eval_wer": 0.9020076711977019,
|
61 |
+
"step": 500
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"epoch": 0.11614401858304298,
|
65 |
+
"eval_loss": 1.2602813243865967,
|
66 |
+
"eval_runtime": 143.0991,
|
67 |
+
"eval_samples_per_second": 39.525,
|
68 |
+
"eval_steps_per_second": 4.941,
|
69 |
+
"eval_wer": 0.8509733433904126,
|
70 |
+
"step": 600
|
71 |
+
},
|
72 |
+
{
|
73 |
+
"epoch": 0.13550135501355012,
|
74 |
+
"eval_loss": 1.0939536094665527,
|
75 |
+
"eval_runtime": 145.4158,
|
76 |
+
"eval_samples_per_second": 38.895,
|
77 |
+
"eval_steps_per_second": 4.862,
|
78 |
+
"eval_wer": 0.7654667715170677,
|
79 |
+
"step": 700
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.1548586914440573,
|
83 |
+
"eval_loss": 1.0704576969146729,
|
84 |
+
"eval_runtime": 148.1277,
|
85 |
+
"eval_samples_per_second": 38.183,
|
86 |
+
"eval_steps_per_second": 4.773,
|
87 |
+
"eval_wer": 0.7601547078364975,
|
88 |
+
"step": 800
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 0.17421602787456447,
|
92 |
+
"eval_loss": 0.9356458187103271,
|
93 |
+
"eval_runtime": 143.6296,
|
94 |
+
"eval_samples_per_second": 39.379,
|
95 |
+
"eval_steps_per_second": 4.922,
|
96 |
+
"eval_wer": 0.6972926128612925,
|
97 |
+
"step": 900
|
98 |
+
},
|
99 |
+
{
|
100 |
+
"epoch": 0.19357336430507163,
|
101 |
+
"grad_norm": 3.2989861965179443,
|
102 |
+
"learning_rate": 0.0002843684210526315,
|
103 |
+
"loss": 1.0597,
|
104 |
+
"step": 1000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.19357336430507163,
|
108 |
+
"eval_loss": 0.9103516936302185,
|
109 |
+
"eval_runtime": 146.7237,
|
110 |
+
"eval_samples_per_second": 38.549,
|
111 |
+
"eval_steps_per_second": 4.819,
|
112 |
+
"eval_wer": 0.6765579111232367,
|
113 |
+
"step": 1000
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 0.2129307007355788,
|
117 |
+
"eval_loss": 0.8879104256629944,
|
118 |
+
"eval_runtime": 153.6385,
|
119 |
+
"eval_samples_per_second": 36.814,
|
120 |
+
"eval_steps_per_second": 4.602,
|
121 |
+
"eval_wer": 0.6569947521304424,
|
122 |
+
"step": 1100
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.23228803716608595,
|
126 |
+
"eval_loss": 0.8594633936882019,
|
127 |
+
"eval_runtime": 147.9212,
|
128 |
+
"eval_samples_per_second": 38.237,
|
129 |
+
"eval_steps_per_second": 4.78,
|
130 |
+
"eval_wer": 0.6611834186580219,
|
131 |
+
"step": 1200
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 0.2516453735965931,
|
135 |
+
"eval_loss": 0.8351845145225525,
|
136 |
+
"eval_runtime": 148.1861,
|
137 |
+
"eval_samples_per_second": 38.168,
|
138 |
+
"eval_steps_per_second": 4.771,
|
139 |
+
"eval_wer": 0.6075331803373402,
|
140 |
+
"step": 1300
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.27100271002710025,
|
144 |
+
"eval_loss": 0.791232168674469,
|
145 |
+
"eval_runtime": 148.9749,
|
146 |
+
"eval_samples_per_second": 37.966,
|
147 |
+
"eval_steps_per_second": 4.746,
|
148 |
+
"eval_wer": 0.6033124167482466,
|
149 |
+
"step": 1400
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.29036004645760743,
|
153 |
+
"grad_norm": 6.474522113800049,
|
154 |
+
"learning_rate": 0.000268578947368421,
|
155 |
+
"loss": 0.8484,
|
156 |
+
"step": 1500
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.29036004645760743,
|
160 |
+
"eval_loss": 0.7862286567687988,
|
161 |
+
"eval_runtime": 146.7521,
|
162 |
+
"eval_samples_per_second": 38.541,
|
163 |
+
"eval_steps_per_second": 4.818,
|
164 |
+
"eval_wer": 0.6067468023302467,
|
165 |
+
"step": 1500
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.3097173828881146,
|
169 |
+
"eval_loss": 0.7790109515190125,
|
170 |
+
"eval_runtime": 147.7062,
|
171 |
+
"eval_samples_per_second": 38.292,
|
172 |
+
"eval_steps_per_second": 4.787,
|
173 |
+
"eval_wer": 0.6009051371346953,
|
174 |
+
"step": 1600
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 0.32907471931862176,
|
178 |
+
"eval_loss": 0.7678210735321045,
|
179 |
+
"eval_runtime": 148.3951,
|
180 |
+
"eval_samples_per_second": 38.114,
|
181 |
+
"eval_steps_per_second": 4.764,
|
182 |
+
"eval_wer": 0.5629182648328546,
|
183 |
+
"step": 1700
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.34843205574912894,
|
187 |
+
"eval_loss": 0.7514644861221313,
|
188 |
+
"eval_runtime": 149.2674,
|
189 |
+
"eval_samples_per_second": 37.892,
|
190 |
+
"eval_steps_per_second": 4.736,
|
191 |
+
"eval_wer": 0.5798655133122562,
|
192 |
+
"step": 1800
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.3677893921796361,
|
196 |
+
"eval_loss": 0.7423551678657532,
|
197 |
+
"eval_runtime": 149.3427,
|
198 |
+
"eval_samples_per_second": 37.873,
|
199 |
+
"eval_steps_per_second": 4.734,
|
200 |
+
"eval_wer": 0.5859158094076488,
|
201 |
+
"step": 1900
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.38714672861014326,
|
205 |
+
"grad_norm": 2.573913335800171,
|
206 |
+
"learning_rate": 0.0002527894736842105,
|
207 |
+
"loss": 0.764,
|
208 |
+
"step": 2000
|
209 |
+
},
|
210 |
+
{
|
211 |
+
"epoch": 0.38714672861014326,
|
212 |
+
"eval_loss": 0.7129915356636047,
|
213 |
+
"eval_runtime": 148.3711,
|
214 |
+
"eval_samples_per_second": 38.121,
|
215 |
+
"eval_steps_per_second": 4.765,
|
216 |
+
"eval_wer": 0.5520855065718734,
|
217 |
+
"step": 2000
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 0.4065040650406504,
|
221 |
+
"eval_loss": 0.7114368677139282,
|
222 |
+
"eval_runtime": 148.2007,
|
223 |
+
"eval_samples_per_second": 38.164,
|
224 |
+
"eval_steps_per_second": 4.771,
|
225 |
+
"eval_wer": 0.5407712923881819,
|
226 |
+
"step": 2100
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.4258614014711576,
|
230 |
+
"eval_loss": 0.7228682637214661,
|
231 |
+
"eval_runtime": 149.1432,
|
232 |
+
"eval_samples_per_second": 37.923,
|
233 |
+
"eval_steps_per_second": 4.74,
|
234 |
+
"eval_wer": 0.5577024923368266,
|
235 |
+
"step": 2200
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 0.4452187379016647,
|
239 |
+
"eval_loss": 0.6773180961608887,
|
240 |
+
"eval_runtime": 154.221,
|
241 |
+
"eval_samples_per_second": 36.675,
|
242 |
+
"eval_steps_per_second": 4.584,
|
243 |
+
"eval_wer": 0.5160084094301167,
|
244 |
+
"step": 2300
|
245 |
+
},
|
246 |
+
{
|
247 |
+
"epoch": 0.4645760743321719,
|
248 |
+
"eval_loss": 0.6784498691558838,
|
249 |
+
"eval_runtime": 149.2744,
|
250 |
+
"eval_samples_per_second": 37.89,
|
251 |
+
"eval_steps_per_second": 4.736,
|
252 |
+
"eval_wer": 0.5177897963441447,
|
253 |
+
"step": 2400
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 0.48393341076267904,
|
257 |
+
"grad_norm": 3.0869553089141846,
|
258 |
+
"learning_rate": 0.000237,
|
259 |
+
"loss": 0.6868,
|
260 |
+
"step": 2500
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.48393341076267904,
|
264 |
+
"eval_loss": 0.672030508518219,
|
265 |
+
"eval_runtime": 149.4453,
|
266 |
+
"eval_samples_per_second": 37.847,
|
267 |
+
"eval_steps_per_second": 4.731,
|
268 |
+
"eval_wer": 0.5261831779300605,
|
269 |
+
"step": 2500
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.5032907471931862,
|
273 |
+
"eval_loss": 0.6804332137107849,
|
274 |
+
"eval_runtime": 151.0327,
|
275 |
+
"eval_samples_per_second": 37.449,
|
276 |
+
"eval_steps_per_second": 4.681,
|
277 |
+
"eval_wer": 0.5336617932628268,
|
278 |
+
"step": 2600
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.5226480836236934,
|
282 |
+
"eval_loss": 0.6598911285400391,
|
283 |
+
"eval_runtime": 149.0299,
|
284 |
+
"eval_samples_per_second": 37.952,
|
285 |
+
"eval_steps_per_second": 4.744,
|
286 |
+
"eval_wer": 0.5023832068174159,
|
287 |
+
"step": 2700
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 0.5420054200542005,
|
291 |
+
"eval_loss": 0.6287100911140442,
|
292 |
+
"eval_runtime": 149.9845,
|
293 |
+
"eval_samples_per_second": 37.711,
|
294 |
+
"eval_steps_per_second": 4.714,
|
295 |
+
"eval_wer": 0.4902023719728459,
|
296 |
+
"step": 2800
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.5613627564847077,
|
300 |
+
"eval_loss": 0.6304338574409485,
|
301 |
+
"eval_runtime": 150.016,
|
302 |
+
"eval_samples_per_second": 37.703,
|
303 |
+
"eval_steps_per_second": 4.713,
|
304 |
+
"eval_wer": 0.49471200911556545,
|
305 |
+
"step": 2900
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 0.5807200929152149,
|
309 |
+
"grad_norm": 5.678714275360107,
|
310 |
+
"learning_rate": 0.00022121052631578946,
|
311 |
+
"loss": 0.6761,
|
312 |
+
"step": 3000
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 0.5807200929152149,
|
316 |
+
"eval_loss": 0.6258472204208374,
|
317 |
+
"eval_runtime": 149.8088,
|
318 |
+
"eval_samples_per_second": 37.755,
|
319 |
+
"eval_steps_per_second": 4.719,
|
320 |
+
"eval_wer": 0.48513103625363097,
|
321 |
+
"step": 3000
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.6000774293457221,
|
325 |
+
"eval_loss": 0.6310975551605225,
|
326 |
+
"eval_runtime": 148.9286,
|
327 |
+
"eval_samples_per_second": 37.978,
|
328 |
+
"eval_steps_per_second": 4.747,
|
329 |
+
"eval_wer": 0.4989809182969299,
|
330 |
+
"step": 3100
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 0.6194347657762292,
|
334 |
+
"eval_loss": 0.6171565651893616,
|
335 |
+
"eval_runtime": 148.6924,
|
336 |
+
"eval_samples_per_second": 38.038,
|
337 |
+
"eval_steps_per_second": 4.755,
|
338 |
+
"eval_wer": 0.4901060807883038,
|
339 |
+
"step": 3200
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.6387921022067363,
|
343 |
+
"eval_loss": 0.6187321543693542,
|
344 |
+
"eval_runtime": 149.7679,
|
345 |
+
"eval_samples_per_second": 37.765,
|
346 |
+
"eval_steps_per_second": 4.721,
|
347 |
+
"eval_wer": 0.46661103176004237,
|
348 |
+
"step": 3300
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 0.6581494386372435,
|
352 |
+
"eval_loss": 0.6044796109199524,
|
353 |
+
"eval_runtime": 149.5983,
|
354 |
+
"eval_samples_per_second": 37.808,
|
355 |
+
"eval_steps_per_second": 4.726,
|
356 |
+
"eval_wer": 0.4725489881401358,
|
357 |
+
"step": 3400
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 0.6775067750677507,
|
361 |
+
"grad_norm": 4.122500419616699,
|
362 |
+
"learning_rate": 0.00020542105263157893,
|
363 |
+
"loss": 0.6462,
|
364 |
+
"step": 3500
|
365 |
+
},
|
366 |
+
{
|
367 |
+
"epoch": 0.6775067750677507,
|
368 |
+
"eval_loss": 0.5950499773025513,
|
369 |
+
"eval_runtime": 148.2511,
|
370 |
+
"eval_samples_per_second": 38.151,
|
371 |
+
"eval_steps_per_second": 4.769,
|
372 |
+
"eval_wer": 0.4716823674792573,
|
373 |
+
"step": 3500
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.6968641114982579,
|
377 |
+
"eval_loss": 0.5902624726295471,
|
378 |
+
"eval_runtime": 149.3094,
|
379 |
+
"eval_samples_per_second": 37.881,
|
380 |
+
"eval_steps_per_second": 4.735,
|
381 |
+
"eval_wer": 0.4602237165187527,
|
382 |
+
"step": 3600
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 0.716221447928765,
|
386 |
+
"eval_loss": 0.5864866375923157,
|
387 |
+
"eval_runtime": 149.6434,
|
388 |
+
"eval_samples_per_second": 37.797,
|
389 |
+
"eval_steps_per_second": 4.725,
|
390 |
+
"eval_wer": 0.47267737638619184,
|
391 |
+
"step": 3700
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 0.7355787843592722,
|
395 |
+
"eval_loss": 0.5820363759994507,
|
396 |
+
"eval_runtime": 148.886,
|
397 |
+
"eval_samples_per_second": 37.989,
|
398 |
+
"eval_steps_per_second": 4.749,
|
399 |
+
"eval_wer": 0.459036125242734,
|
400 |
+
"step": 3800
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 0.7549361207897793,
|
404 |
+
"eval_loss": 0.6025602221488953,
|
405 |
+
"eval_runtime": 148.9627,
|
406 |
+
"eval_samples_per_second": 37.969,
|
407 |
+
"eval_steps_per_second": 4.746,
|
408 |
+
"eval_wer": 0.48296448460143476,
|
409 |
+
"step": 3900
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.7742934572202865,
|
413 |
+
"grad_norm": 5.146019458770752,
|
414 |
+
"learning_rate": 0.0001896315789473684,
|
415 |
+
"loss": 0.6193,
|
416 |
+
"step": 4000
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.7742934572202865,
|
420 |
+
"eval_loss": 0.5807139277458191,
|
421 |
+
"eval_runtime": 147.9966,
|
422 |
+
"eval_samples_per_second": 38.217,
|
423 |
+
"eval_steps_per_second": 4.777,
|
424 |
+
"eval_wer": 0.44963168621912664,
|
425 |
+
"step": 4000
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 0.7936507936507936,
|
429 |
+
"eval_loss": 0.5620962977409363,
|
430 |
+
"eval_runtime": 148.8391,
|
431 |
+
"eval_samples_per_second": 38.001,
|
432 |
+
"eval_steps_per_second": 4.75,
|
433 |
+
"eval_wer": 0.44857248318916404,
|
434 |
+
"step": 4100
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.8130081300813008,
|
438 |
+
"eval_loss": 0.5730157494544983,
|
439 |
+
"eval_runtime": 148.9808,
|
440 |
+
"eval_samples_per_second": 37.965,
|
441 |
+
"eval_steps_per_second": 4.746,
|
442 |
+
"eval_wer": 0.4593410473271172,
|
443 |
+
"step": 4200
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.832365466511808,
|
447 |
+
"eval_loss": 0.5592055916786194,
|
448 |
+
"eval_runtime": 147.8897,
|
449 |
+
"eval_samples_per_second": 38.245,
|
450 |
+
"eval_steps_per_second": 4.781,
|
451 |
+
"eval_wer": 0.43741875431304267,
|
452 |
+
"step": 4300
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.8517228029423152,
|
456 |
+
"eval_loss": 0.5621338486671448,
|
457 |
+
"eval_runtime": 148.7799,
|
458 |
+
"eval_samples_per_second": 38.016,
|
459 |
+
"eval_steps_per_second": 4.752,
|
460 |
+
"eval_wer": 0.42387379435412686,
|
461 |
+
"step": 4400
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 0.8710801393728222,
|
465 |
+
"grad_norm": 2.8218295574188232,
|
466 |
+
"learning_rate": 0.0001738421052631579,
|
467 |
+
"loss": 0.59,
|
468 |
+
"step": 4500
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 0.8710801393728222,
|
472 |
+
"eval_loss": 0.545798659324646,
|
473 |
+
"eval_runtime": 150.2397,
|
474 |
+
"eval_samples_per_second": 37.647,
|
475 |
+
"eval_steps_per_second": 4.706,
|
476 |
+
"eval_wer": 0.4304055463722296,
|
477 |
+
"step": 4500
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 0.8904374758033294,
|
481 |
+
"eval_loss": 0.5406409502029419,
|
482 |
+
"eval_runtime": 148.931,
|
483 |
+
"eval_samples_per_second": 37.977,
|
484 |
+
"eval_steps_per_second": 4.747,
|
485 |
+
"eval_wer": 0.4270674519747717,
|
486 |
+
"step": 4600
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.9097948122338366,
|
490 |
+
"eval_loss": 0.5268651247024536,
|
491 |
+
"eval_runtime": 148.7725,
|
492 |
+
"eval_samples_per_second": 38.018,
|
493 |
+
"eval_steps_per_second": 4.752,
|
494 |
+
"eval_wer": 0.41315337580844474,
|
495 |
+
"step": 4700
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 0.9291521486643438,
|
499 |
+
"eval_loss": 0.5362106561660767,
|
500 |
+
"eval_runtime": 147.8165,
|
501 |
+
"eval_samples_per_second": 38.264,
|
502 |
+
"eval_steps_per_second": 4.783,
|
503 |
+
"eval_wer": 0.4214665147405755,
|
504 |
+
"step": 4800
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 0.948509485094851,
|
508 |
+
"eval_loss": 0.5226009488105774,
|
509 |
+
"eval_runtime": 149.4387,
|
510 |
+
"eval_samples_per_second": 37.848,
|
511 |
+
"eval_steps_per_second": 4.731,
|
512 |
+
"eval_wer": 0.41626679077530454,
|
513 |
+
"step": 4900
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.9678668215253581,
|
517 |
+
"grad_norm": 7.241621017456055,
|
518 |
+
"learning_rate": 0.00015808421052631577,
|
519 |
+
"loss": 0.5636,
|
520 |
+
"step": 5000
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.9678668215253581,
|
524 |
+
"eval_loss": 0.5297274589538574,
|
525 |
+
"eval_runtime": 149.3726,
|
526 |
+
"eval_samples_per_second": 37.865,
|
527 |
+
"eval_steps_per_second": 4.733,
|
528 |
+
"eval_wer": 0.4148384715379307,
|
529 |
+
"step": 5000
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 0.9872241579558653,
|
533 |
+
"eval_loss": 0.5225785970687866,
|
534 |
+
"eval_runtime": 149.3039,
|
535 |
+
"eval_samples_per_second": 37.882,
|
536 |
+
"eval_steps_per_second": 4.735,
|
537 |
+
"eval_wer": 0.413634831731155,
|
538 |
+
"step": 5100
|
539 |
+
},
|
540 |
+
{
|
541 |
+
"epoch": 1.0065814943863725,
|
542 |
+
"eval_loss": 0.5239331722259521,
|
543 |
+
"eval_runtime": 149.3008,
|
544 |
+
"eval_samples_per_second": 37.883,
|
545 |
+
"eval_steps_per_second": 4.735,
|
546 |
+
"eval_wer": 0.4054179839835663,
|
547 |
+
"step": 5200
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 1.0259388308168795,
|
551 |
+
"eval_loss": 0.5382751226425171,
|
552 |
+
"eval_runtime": 148.0837,
|
553 |
+
"eval_samples_per_second": 38.195,
|
554 |
+
"eval_steps_per_second": 4.774,
|
555 |
+
"eval_wer": 0.4057871001909775,
|
556 |
+
"step": 5300
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 1.0452961672473868,
|
560 |
+
"eval_loss": 0.5125272274017334,
|
561 |
+
"eval_runtime": 149.1205,
|
562 |
+
"eval_samples_per_second": 37.929,
|
563 |
+
"eval_steps_per_second": 4.741,
|
564 |
+
"eval_wer": 0.4067179149748841,
|
565 |
+
"step": 5400
|
566 |
+
},
|
567 |
+
{
|
568 |
+
"epoch": 1.064653503677894,
|
569 |
+
"grad_norm": 1.124423623085022,
|
570 |
+
"learning_rate": 0.00014232631578947366,
|
571 |
+
"loss": 0.4924,
|
572 |
+
"step": 5500
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 1.064653503677894,
|
576 |
+
"eval_loss": 0.5029215812683105,
|
577 |
+
"eval_runtime": 147.7988,
|
578 |
+
"eval_samples_per_second": 38.268,
|
579 |
+
"eval_steps_per_second": 4.784,
|
580 |
+
"eval_wer": 0.39533950666816453,
|
581 |
+
"step": 5500
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 1.084010840108401,
|
585 |
+
"eval_loss": 0.505442202091217,
|
586 |
+
"eval_runtime": 149.3815,
|
587 |
+
"eval_samples_per_second": 37.863,
|
588 |
+
"eval_steps_per_second": 4.733,
|
589 |
+
"eval_wer": 0.3932050520774823,
|
590 |
+
"step": 5600
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 1.1033681765389083,
|
594 |
+
"eval_loss": 0.4968744218349457,
|
595 |
+
"eval_runtime": 149.7956,
|
596 |
+
"eval_samples_per_second": 37.758,
|
597 |
+
"eval_steps_per_second": 4.72,
|
598 |
+
"eval_wer": 0.3894015502880711,
|
599 |
+
"step": 5700
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 1.1227255129694154,
|
603 |
+
"eval_loss": 0.49354633688926697,
|
604 |
+
"eval_runtime": 148.4196,
|
605 |
+
"eval_samples_per_second": 38.108,
|
606 |
+
"eval_steps_per_second": 4.764,
|
607 |
+
"eval_wer": 0.38508449551443563,
|
608 |
+
"step": 5800
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 1.1420828493999227,
|
612 |
+
"eval_loss": 0.49766939878463745,
|
613 |
+
"eval_runtime": 149.5302,
|
614 |
+
"eval_samples_per_second": 37.825,
|
615 |
+
"eval_steps_per_second": 4.728,
|
616 |
+
"eval_wer": 0.3816501099324357,
|
617 |
+
"step": 5900
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 1.1614401858304297,
|
621 |
+
"grad_norm": 1.9677255153656006,
|
622 |
+
"learning_rate": 0.00012653684210526316,
|
623 |
+
"loss": 0.4602,
|
624 |
+
"step": 6000
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 1.1614401858304297,
|
628 |
+
"eval_loss": 0.4862758219242096,
|
629 |
+
"eval_runtime": 150.9135,
|
630 |
+
"eval_samples_per_second": 37.478,
|
631 |
+
"eval_steps_per_second": 4.685,
|
632 |
+
"eval_wer": 0.387395483943445,
|
633 |
+
"step": 6000
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 1.1807975222609368,
|
637 |
+
"eval_loss": 0.4906172454357147,
|
638 |
+
"eval_runtime": 148.5353,
|
639 |
+
"eval_samples_per_second": 38.078,
|
640 |
+
"eval_steps_per_second": 4.76,
|
641 |
+
"eval_wer": 0.3776700743046974,
|
642 |
+
"step": 6100
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 1.2001548586914441,
|
646 |
+
"eval_loss": 0.4891129434108734,
|
647 |
+
"eval_runtime": 149.6289,
|
648 |
+
"eval_samples_per_second": 37.8,
|
649 |
+
"eval_steps_per_second": 4.725,
|
650 |
+
"eval_wer": 0.3763861918441367,
|
651 |
+
"step": 6200
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 1.2195121951219512,
|
655 |
+
"eval_loss": 0.488125741481781,
|
656 |
+
"eval_runtime": 148.288,
|
657 |
+
"eval_samples_per_second": 38.142,
|
658 |
+
"eval_steps_per_second": 4.768,
|
659 |
+
"eval_wer": 0.3800934024490058,
|
660 |
+
"step": 6300
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.2388695315524583,
|
664 |
+
"eval_loss": 0.48135778307914734,
|
665 |
+
"eval_runtime": 147.6048,
|
666 |
+
"eval_samples_per_second": 38.319,
|
667 |
+
"eval_steps_per_second": 4.79,
|
668 |
+
"eval_wer": 0.37266293270851053,
|
669 |
+
"step": 6400
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 1.2582268679829656,
|
673 |
+
"grad_norm": 1.2907174825668335,
|
674 |
+
"learning_rate": 0.00011074736842105263,
|
675 |
+
"loss": 0.4407,
|
676 |
+
"step": 6500
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 1.2582268679829656,
|
680 |
+
"eval_loss": 0.47142112255096436,
|
681 |
+
"eval_runtime": 147.9064,
|
682 |
+
"eval_samples_per_second": 38.24,
|
683 |
+
"eval_steps_per_second": 4.78,
|
684 |
+
"eval_wer": 0.37723676397425815,
|
685 |
+
"step": 6500
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 1.2775842044134726,
|
689 |
+
"eval_loss": 0.47389352321624756,
|
690 |
+
"eval_runtime": 146.8545,
|
691 |
+
"eval_samples_per_second": 38.514,
|
692 |
+
"eval_steps_per_second": 4.814,
|
693 |
+
"eval_wer": 0.3705605751793423,
|
694 |
+
"step": 6600
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 1.29694154084398,
|
698 |
+
"eval_loss": 0.4691925644874573,
|
699 |
+
"eval_runtime": 146.6568,
|
700 |
+
"eval_samples_per_second": 38.566,
|
701 |
+
"eval_steps_per_second": 4.821,
|
702 |
+
"eval_wer": 0.3713790502479498,
|
703 |
+
"step": 6700
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 1.316298877274487,
|
707 |
+
"eval_loss": 0.4672953486442566,
|
708 |
+
"eval_runtime": 146.8165,
|
709 |
+
"eval_samples_per_second": 38.524,
|
710 |
+
"eval_steps_per_second": 4.816,
|
711 |
+
"eval_wer": 0.3728073694853236,
|
712 |
+
"step": 6800
|
713 |
+
},
|
714 |
+
{
|
715 |
+
"epoch": 1.3356562137049943,
|
716 |
+
"eval_loss": 0.46098417043685913,
|
717 |
+
"eval_runtime": 147.3051,
|
718 |
+
"eval_samples_per_second": 38.397,
|
719 |
+
"eval_steps_per_second": 4.8,
|
720 |
+
"eval_wer": 0.36780022788913674,
|
721 |
+
"step": 6900
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 1.3550135501355014,
|
725 |
+
"grad_norm": 0.8472552299499512,
|
726 |
+
"learning_rate": 9.49578947368421e-05,
|
727 |
+
"loss": 0.4284,
|
728 |
+
"step": 7000
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 1.3550135501355014,
|
732 |
+
"eval_loss": 0.47299668192863464,
|
733 |
+
"eval_runtime": 151.323,
|
734 |
+
"eval_samples_per_second": 37.377,
|
735 |
+
"eval_steps_per_second": 4.672,
|
736 |
+
"eval_wer": 0.36531270562180035,
|
737 |
+
"step": 7000
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 1.3743708865660085,
|
741 |
+
"eval_loss": 0.46056076884269714,
|
742 |
+
"eval_runtime": 146.0139,
|
743 |
+
"eval_samples_per_second": 38.736,
|
744 |
+
"eval_steps_per_second": 4.842,
|
745 |
+
"eval_wer": 0.36399672609972555,
|
746 |
+
"step": 7100
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 1.3937282229965158,
|
750 |
+
"eval_loss": 0.4571812152862549,
|
751 |
+
"eval_runtime": 146.7792,
|
752 |
+
"eval_samples_per_second": 38.534,
|
753 |
+
"eval_steps_per_second": 4.817,
|
754 |
+
"eval_wer": 0.3620067082858564,
|
755 |
+
"step": 7200
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 1.4130855594270229,
|
759 |
+
"eval_loss": 0.45746785402297974,
|
760 |
+
"eval_runtime": 146.8097,
|
761 |
+
"eval_samples_per_second": 38.526,
|
762 |
+
"eval_steps_per_second": 4.816,
|
763 |
+
"eval_wer": 0.362969620131277,
|
764 |
+
"step": 7300
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 1.43244289585753,
|
768 |
+
"eval_loss": 0.45778077840805054,
|
769 |
+
"eval_runtime": 146.9433,
|
770 |
+
"eval_samples_per_second": 38.491,
|
771 |
+
"eval_steps_per_second": 4.811,
|
772 |
+
"eval_wer": 0.3590216815650527,
|
773 |
+
"step": 7400
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 1.4518002322880372,
|
777 |
+
"grad_norm": 0.9635696411132812,
|
778 |
+
"learning_rate": 7.916842105263156e-05,
|
779 |
+
"loss": 0.4299,
|
780 |
+
"step": 7500
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 1.4518002322880372,
|
784 |
+
"eval_loss": 0.4477390646934509,
|
785 |
+
"eval_runtime": 146.7454,
|
786 |
+
"eval_samples_per_second": 38.543,
|
787 |
+
"eval_steps_per_second": 4.818,
|
788 |
+
"eval_wer": 0.3569193240358845,
|
789 |
+
"step": 7500
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 1.4711575687185443,
|
793 |
+
"eval_loss": 0.4441732168197632,
|
794 |
+
"eval_runtime": 147.4263,
|
795 |
+
"eval_samples_per_second": 38.365,
|
796 |
+
"eval_steps_per_second": 4.796,
|
797 |
+
"eval_wer": 0.3551700341833705,
|
798 |
+
"step": 7600
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 1.4905149051490514,
|
802 |
+
"eval_loss": 0.4420062303543091,
|
803 |
+
"eval_runtime": 146.725,
|
804 |
+
"eval_samples_per_second": 38.548,
|
805 |
+
"eval_steps_per_second": 4.819,
|
806 |
+
"eval_wer": 0.3546083356068752,
|
807 |
+
"step": 7700
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 1.5098722415795587,
|
811 |
+
"eval_loss": 0.4436999559402466,
|
812 |
+
"eval_runtime": 145.7818,
|
813 |
+
"eval_samples_per_second": 38.798,
|
814 |
+
"eval_steps_per_second": 4.85,
|
815 |
+
"eval_wer": 0.3482531174270995,
|
816 |
+
"step": 7800
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 1.5292295780100658,
|
820 |
+
"eval_loss": 0.43728071451187134,
|
821 |
+
"eval_runtime": 146.721,
|
822 |
+
"eval_samples_per_second": 38.549,
|
823 |
+
"eval_steps_per_second": 4.819,
|
824 |
+
"eval_wer": 0.3485740880422397,
|
825 |
+
"step": 7900
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 1.5485869144405728,
|
829 |
+
"grad_norm": 1.1358890533447266,
|
830 |
+
"learning_rate": 6.341052631578946e-05,
|
831 |
+
"loss": 0.408,
|
832 |
+
"step": 8000
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 1.5485869144405728,
|
836 |
+
"eval_loss": 0.4335756301879883,
|
837 |
+
"eval_runtime": 146.7599,
|
838 |
+
"eval_samples_per_second": 38.539,
|
839 |
+
"eval_steps_per_second": 4.817,
|
840 |
+
"eval_wer": 0.3464075363900435,
|
841 |
+
"step": 8000
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 1.5679442508710801,
|
845 |
+
"eval_loss": 0.4347936511039734,
|
846 |
+
"eval_runtime": 146.7423,
|
847 |
+
"eval_samples_per_second": 38.544,
|
848 |
+
"eval_steps_per_second": 4.818,
|
849 |
+
"eval_wer": 0.34475453772207154,
|
850 |
+
"step": 8100
|
851 |
+
},
|
852 |
+
{
|
853 |
+
"epoch": 1.5873015873015874,
|
854 |
+
"eval_loss": 0.42762240767478943,
|
855 |
+
"eval_runtime": 151.2432,
|
856 |
+
"eval_samples_per_second": 37.397,
|
857 |
+
"eval_steps_per_second": 4.675,
|
858 |
+
"eval_wer": 0.34180160806278187,
|
859 |
+
"step": 8200
|
860 |
+
},
|
861 |
+
{
|
862 |
+
"epoch": 1.6066589237320945,
|
863 |
+
"eval_loss": 0.42939648032188416,
|
864 |
+
"eval_runtime": 146.0228,
|
865 |
+
"eval_samples_per_second": 38.734,
|
866 |
+
"eval_steps_per_second": 4.842,
|
867 |
+
"eval_wer": 0.3399078814334548,
|
868 |
+
"step": 8300
|
869 |
+
},
|
870 |
+
{
|
871 |
+
"epoch": 1.6260162601626016,
|
872 |
+
"eval_loss": 0.42716294527053833,
|
873 |
+
"eval_runtime": 145.901,
|
874 |
+
"eval_samples_per_second": 38.766,
|
875 |
+
"eval_steps_per_second": 4.846,
|
876 |
+
"eval_wer": 0.3387523872189501,
|
877 |
+
"step": 8400
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 1.645373596593109,
|
881 |
+
"grad_norm": 1.037522792816162,
|
882 |
+
"learning_rate": 4.762105263157894e-05,
|
883 |
+
"loss": 0.3964,
|
884 |
+
"step": 8500
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 1.645373596593109,
|
888 |
+
"eval_loss": 0.4310940206050873,
|
889 |
+
"eval_runtime": 145.7507,
|
890 |
+
"eval_samples_per_second": 38.806,
|
891 |
+
"eval_steps_per_second": 4.851,
|
892 |
+
"eval_wer": 0.3408707932788753,
|
893 |
+
"step": 8500
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 1.664730933023616,
|
897 |
+
"eval_loss": 0.4260464608669281,
|
898 |
+
"eval_runtime": 146.3966,
|
899 |
+
"eval_samples_per_second": 38.635,
|
900 |
+
"eval_steps_per_second": 4.829,
|
901 |
+
"eval_wer": 0.3381264945194267,
|
902 |
+
"step": 8600
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 1.684088269454123,
|
906 |
+
"eval_loss": 0.4260489046573639,
|
907 |
+
"eval_runtime": 146.6331,
|
908 |
+
"eval_samples_per_second": 38.572,
|
909 |
+
"eval_steps_per_second": 4.822,
|
910 |
+
"eval_wer": 0.3370672914894641,
|
911 |
+
"step": 8700
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 1.7034456058846303,
|
915 |
+
"eval_loss": 0.4259546101093292,
|
916 |
+
"eval_runtime": 146.1762,
|
917 |
+
"eval_samples_per_second": 38.693,
|
918 |
+
"eval_steps_per_second": 4.837,
|
919 |
+
"eval_wer": 0.33636115613615575,
|
920 |
+
"step": 8800
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 1.7228029423151374,
|
924 |
+
"eval_loss": 0.42149877548217773,
|
925 |
+
"eval_runtime": 147.5316,
|
926 |
+
"eval_samples_per_second": 38.338,
|
927 |
+
"eval_steps_per_second": 4.792,
|
928 |
+
"eval_wer": 0.335109370737109,
|
929 |
+
"step": 8900
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 1.7421602787456445,
|
933 |
+
"grad_norm": 1.4968059062957764,
|
934 |
+
"learning_rate": 3.186315789473684e-05,
|
935 |
+
"loss": 0.3866,
|
936 |
+
"step": 9000
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 1.7421602787456445,
|
940 |
+
"eval_loss": 0.4234353303909302,
|
941 |
+
"eval_runtime": 146.8779,
|
942 |
+
"eval_samples_per_second": 38.508,
|
943 |
+
"eval_steps_per_second": 4.814,
|
944 |
+
"eval_wer": 0.3330391102694548,
|
945 |
+
"step": 9000
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 1.7615176151761518,
|
949 |
+
"eval_loss": 0.4210032522678375,
|
950 |
+
"eval_runtime": 146.0169,
|
951 |
+
"eval_samples_per_second": 38.735,
|
952 |
+
"eval_steps_per_second": 4.842,
|
953 |
+
"eval_wer": 0.3318515189934362,
|
954 |
+
"step": 9100
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 1.7808749516066589,
|
958 |
+
"eval_loss": 0.41560646891593933,
|
959 |
+
"eval_runtime": 145.9957,
|
960 |
+
"eval_samples_per_second": 38.741,
|
961 |
+
"eval_steps_per_second": 4.843,
|
962 |
+
"eval_wer": 0.3300540835486511,
|
963 |
+
"step": 9200
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 1.800232288037166,
|
967 |
+
"eval_loss": 0.41584905982017517,
|
968 |
+
"eval_runtime": 147.0182,
|
969 |
+
"eval_samples_per_second": 38.471,
|
970 |
+
"eval_steps_per_second": 4.809,
|
971 |
+
"eval_wer": 0.33032690857152025,
|
972 |
+
"step": 9300
|
973 |
+
},
|
974 |
+
{
|
975 |
+
"epoch": 1.8195896244676733,
|
976 |
+
"eval_loss": 0.41545388102531433,
|
977 |
+
"eval_runtime": 147.1819,
|
978 |
+
"eval_samples_per_second": 38.429,
|
979 |
+
"eval_steps_per_second": 4.804,
|
980 |
+
"eval_wer": 0.32944423937988476,
|
981 |
+
"step": 9400
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 1.8389469608981805,
|
985 |
+
"grad_norm": 0.9967782497406006,
|
986 |
+
"learning_rate": 1.6073684210526313e-05,
|
987 |
+
"loss": 0.37,
|
988 |
+
"step": 9500
|
989 |
+
},
|
990 |
+
{
|
991 |
+
"epoch": 1.8389469608981805,
|
992 |
+
"eval_loss": 0.41372692584991455,
|
993 |
+
"eval_runtime": 146.2893,
|
994 |
+
"eval_samples_per_second": 38.663,
|
995 |
+
"eval_steps_per_second": 4.833,
|
996 |
+
"eval_wer": 0.32921955994928664,
|
997 |
+
"step": 9500
|
998 |
+
},
|
999 |
+
{
|
1000 |
+
"epoch": 1.8583042973286876,
|
1001 |
+
"eval_loss": 0.4120025932788849,
|
1002 |
+
"eval_runtime": 146.1391,
|
1003 |
+
"eval_samples_per_second": 38.703,
|
1004 |
+
"eval_steps_per_second": 4.838,
|
1005 |
+
"eval_wer": 0.3284492304729502,
|
1006 |
+
"step": 9600
|
1007 |
+
},
|
1008 |
+
{
|
1009 |
+
"epoch": 1.8776616337591947,
|
1010 |
+
"eval_loss": 0.4108966886997223,
|
1011 |
+
"eval_runtime": 146.9334,
|
1012 |
+
"eval_samples_per_second": 38.494,
|
1013 |
+
"eval_steps_per_second": 4.812,
|
1014 |
+
"eval_wer": 0.3300701320794081,
|
1015 |
+
"step": 9700
|
1016 |
+
},
|
1017 |
+
{
|
1018 |
+
"epoch": 1.897018970189702,
|
1019 |
+
"eval_loss": 0.4100329577922821,
|
1020 |
+
"eval_runtime": 146.8452,
|
1021 |
+
"eval_samples_per_second": 38.517,
|
1022 |
+
"eval_steps_per_second": 4.815,
|
1023 |
+
"eval_wer": 0.32785543483494084,
|
1024 |
+
"step": 9800
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 1.916376306620209,
|
1028 |
+
"eval_loss": 0.4094770848751068,
|
1029 |
+
"eval_runtime": 146.5252,
|
1030 |
+
"eval_samples_per_second": 38.601,
|
1031 |
+
"eval_steps_per_second": 4.825,
|
1032 |
+
"eval_wer": 0.3266999406204362,
|
1033 |
+
"step": 9900
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 1.9357336430507162,
|
1037 |
+
"grad_norm": 0.7779282927513123,
|
1038 |
+
"learning_rate": 2.842105263157894e-07,
|
1039 |
+
"loss": 0.371,
|
1040 |
+
"step": 10000
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 1.9357336430507162,
|
1044 |
+
"eval_loss": 0.409473717212677,
|
1045 |
+
"eval_runtime": 146.0247,
|
1046 |
+
"eval_samples_per_second": 38.733,
|
1047 |
+
"eval_steps_per_second": 4.842,
|
1048 |
+
"eval_wer": 0.3270690568278474,
|
1049 |
+
"step": 10000
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 1.9357336430507162,
|
1053 |
+
"step": 10000,
|
1054 |
+
"total_flos": 1.1255918428180738e+19,
|
1055 |
+
"train_loss": 0.7365739318847656,
|
1056 |
+
"train_runtime": 19473.5524,
|
1057 |
+
"train_samples_per_second": 4.108,
|
1058 |
+
"train_steps_per_second": 0.514
|
1059 |
+
}
|
1060 |
+
],
|
1061 |
+
"logging_steps": 500,
|
1062 |
+
"max_steps": 10000,
|
1063 |
+
"num_input_tokens_seen": 0,
|
1064 |
+
"num_train_epochs": 2,
|
1065 |
+
"save_steps": 400,
|
1066 |
+
"stateful_callbacks": {
|
1067 |
+
"TrainerControl": {
|
1068 |
+
"args": {
|
1069 |
+
"should_epoch_stop": false,
|
1070 |
+
"should_evaluate": false,
|
1071 |
+
"should_log": false,
|
1072 |
+
"should_save": true,
|
1073 |
+
"should_training_stop": true
|
1074 |
+
},
|
1075 |
+
"attributes": {}
|
1076 |
+
}
|
1077 |
+
},
|
1078 |
+
"total_flos": 1.1255918428180738e+19,
|
1079 |
+
"train_batch_size": 8,
|
1080 |
+
"trial_name": null,
|
1081 |
+
"trial_params": null
|
1082 |
+
}
|