Commit
•
fb90add
1
Parent(s):
711daf1
End of training
Browse files- README.md +3 -1
- all_results.json +14 -0
- eval_results.json +9 -0
- train_results.json +8 -0
- trainer_state.json +742 -0
README.md
CHANGED
|
@@ -2,6 +2,8 @@
|
|
| 2 |
license: cc-by-nc-4.0
|
| 3 |
base_model: nguyenvulebinh/wav2vec2-base-vi
|
| 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-baseline
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vi](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vi) on
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
- Loss: nan
|
| 21 |
- Wer: 1.0
|
|
|
|
| 2 |
license: cc-by-nc-4.0
|
| 3 |
base_model: nguyenvulebinh/wav2vec2-base-vi
|
| 4 |
tags:
|
| 5 |
+
- automatic-speech-recognition
|
| 6 |
+
- quocanh34/asr_spoken_norm_train_data
|
| 7 |
- generated_from_trainer
|
| 8 |
metrics:
|
| 9 |
- wer
|
|
|
|
| 17 |
|
| 18 |
# wav2vec2-baseline
|
| 19 |
|
| 20 |
+
This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vi](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vi) on the QUOCANH34/ASR_SPOKEN_NORM_TRAIN_DATA - NA dataset.
|
| 21 |
It achieves the following results on the evaluation set:
|
| 22 |
- Loss: nan
|
| 23 |
- Wer: 1.0
|
all_results.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"eval_loss": NaN,
|
| 4 |
+
"eval_runtime": 55.4361,
|
| 5 |
+
"eval_samples": 748,
|
| 6 |
+
"eval_samples_per_second": 13.493,
|
| 7 |
+
"eval_steps_per_second": 1.696,
|
| 8 |
+
"eval_wer": 1.0,
|
| 9 |
+
"train_loss": 7.303107645844462,
|
| 10 |
+
"train_runtime": 22559.2753,
|
| 11 |
+
"train_samples": 7477,
|
| 12 |
+
"train_samples_per_second": 9.943,
|
| 13 |
+
"train_steps_per_second": 0.311
|
| 14 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"eval_loss": NaN,
|
| 4 |
+
"eval_runtime": 55.4361,
|
| 5 |
+
"eval_samples": 748,
|
| 6 |
+
"eval_samples_per_second": 13.493,
|
| 7 |
+
"eval_steps_per_second": 1.696,
|
| 8 |
+
"eval_wer": 1.0
|
| 9 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"train_loss": 7.303107645844462,
|
| 4 |
+
"train_runtime": 22559.2753,
|
| 5 |
+
"train_samples": 7477,
|
| 6 |
+
"train_samples_per_second": 9.943,
|
| 7 |
+
"train_steps_per_second": 0.311
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,742 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 30.0,
|
| 5 |
+
"eval_steps": 100,
|
| 6 |
+
"global_step": 7020,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.43,
|
| 13 |
+
"eval_loss": Infinity,
|
| 14 |
+
"eval_runtime": 60.2276,
|
| 15 |
+
"eval_samples_per_second": 12.42,
|
| 16 |
+
"eval_steps_per_second": 1.561,
|
| 17 |
+
"eval_wer": 1.258039732191856,
|
| 18 |
+
"step": 100
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"epoch": 0.85,
|
| 22 |
+
"eval_loss": Infinity,
|
| 23 |
+
"eval_runtime": 58.2497,
|
| 24 |
+
"eval_samples_per_second": 12.841,
|
| 25 |
+
"eval_steps_per_second": 1.614,
|
| 26 |
+
"eval_wer": 1.0,
|
| 27 |
+
"step": 200
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 1.28,
|
| 31 |
+
"eval_loss": Infinity,
|
| 32 |
+
"eval_runtime": 58.0059,
|
| 33 |
+
"eval_samples_per_second": 12.895,
|
| 34 |
+
"eval_steps_per_second": 1.621,
|
| 35 |
+
"eval_wer": 1.0,
|
| 36 |
+
"step": 300
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"epoch": 1.71,
|
| 40 |
+
"eval_loss": Infinity,
|
| 41 |
+
"eval_runtime": 57.8536,
|
| 42 |
+
"eval_samples_per_second": 12.929,
|
| 43 |
+
"eval_steps_per_second": 1.625,
|
| 44 |
+
"eval_wer": 1.0,
|
| 45 |
+
"step": 400
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 2.14,
|
| 49 |
+
"learning_rate": 7.807999999999999e-06,
|
| 50 |
+
"loss": 12.36,
|
| 51 |
+
"step": 500
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 2.14,
|
| 55 |
+
"eval_loss": Infinity,
|
| 56 |
+
"eval_runtime": 59.1436,
|
| 57 |
+
"eval_samples_per_second": 12.647,
|
| 58 |
+
"eval_steps_per_second": 1.589,
|
| 59 |
+
"eval_wer": 1.0,
|
| 60 |
+
"step": 500
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 2.56,
|
| 64 |
+
"eval_loss": Infinity,
|
| 65 |
+
"eval_runtime": 57.8973,
|
| 66 |
+
"eval_samples_per_second": 12.919,
|
| 67 |
+
"eval_steps_per_second": 1.624,
|
| 68 |
+
"eval_wer": 1.0,
|
| 69 |
+
"step": 600
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 2.99,
|
| 73 |
+
"eval_loss": Infinity,
|
| 74 |
+
"eval_runtime": 57.5316,
|
| 75 |
+
"eval_samples_per_second": 13.002,
|
| 76 |
+
"eval_steps_per_second": 1.634,
|
| 77 |
+
"eval_wer": 1.0,
|
| 78 |
+
"step": 700
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"epoch": 3.42,
|
| 82 |
+
"eval_loss": Infinity,
|
| 83 |
+
"eval_runtime": 58.6719,
|
| 84 |
+
"eval_samples_per_second": 12.749,
|
| 85 |
+
"eval_steps_per_second": 1.602,
|
| 86 |
+
"eval_wer": 1.0,
|
| 87 |
+
"step": 800
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 3.85,
|
| 91 |
+
"eval_loss": Infinity,
|
| 92 |
+
"eval_runtime": 58.8307,
|
| 93 |
+
"eval_samples_per_second": 12.714,
|
| 94 |
+
"eval_steps_per_second": 1.598,
|
| 95 |
+
"eval_wer": 1.0,
|
| 96 |
+
"step": 900
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 4.27,
|
| 100 |
+
"learning_rate": 7.414723926380368e-06,
|
| 101 |
+
"loss": 8.4674,
|
| 102 |
+
"step": 1000
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 4.27,
|
| 106 |
+
"eval_loss": Infinity,
|
| 107 |
+
"eval_runtime": 58.475,
|
| 108 |
+
"eval_samples_per_second": 12.792,
|
| 109 |
+
"eval_steps_per_second": 1.608,
|
| 110 |
+
"eval_wer": 1.0,
|
| 111 |
+
"step": 1000
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 4.7,
|
| 115 |
+
"eval_loss": Infinity,
|
| 116 |
+
"eval_runtime": 54.8849,
|
| 117 |
+
"eval_samples_per_second": 13.629,
|
| 118 |
+
"eval_steps_per_second": 1.713,
|
| 119 |
+
"eval_wer": 1.0,
|
| 120 |
+
"step": 1100
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 5.13,
|
| 124 |
+
"eval_loss": Infinity,
|
| 125 |
+
"eval_runtime": 55.2282,
|
| 126 |
+
"eval_samples_per_second": 13.544,
|
| 127 |
+
"eval_steps_per_second": 1.702,
|
| 128 |
+
"eval_wer": 1.0,
|
| 129 |
+
"step": 1200
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 5.56,
|
| 133 |
+
"eval_loss": Infinity,
|
| 134 |
+
"eval_runtime": 56.5087,
|
| 135 |
+
"eval_samples_per_second": 13.237,
|
| 136 |
+
"eval_steps_per_second": 1.663,
|
| 137 |
+
"eval_wer": 1.0,
|
| 138 |
+
"step": 1300
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"epoch": 5.98,
|
| 142 |
+
"eval_loss": Infinity,
|
| 143 |
+
"eval_runtime": 54.6135,
|
| 144 |
+
"eval_samples_per_second": 13.696,
|
| 145 |
+
"eval_steps_per_second": 1.721,
|
| 146 |
+
"eval_wer": 1.0,
|
| 147 |
+
"step": 1400
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 6.41,
|
| 151 |
+
"learning_rate": 6.813496932515337e-06,
|
| 152 |
+
"loss": 6.9866,
|
| 153 |
+
"step": 1500
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 6.41,
|
| 157 |
+
"eval_loss": Infinity,
|
| 158 |
+
"eval_runtime": 54.3306,
|
| 159 |
+
"eval_samples_per_second": 13.768,
|
| 160 |
+
"eval_steps_per_second": 1.73,
|
| 161 |
+
"eval_wer": 1.0,
|
| 162 |
+
"step": 1500
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 6.84,
|
| 166 |
+
"eval_loss": Infinity,
|
| 167 |
+
"eval_runtime": 54.6515,
|
| 168 |
+
"eval_samples_per_second": 13.687,
|
| 169 |
+
"eval_steps_per_second": 1.72,
|
| 170 |
+
"eval_wer": 1.0,
|
| 171 |
+
"step": 1600
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 7.26,
|
| 175 |
+
"eval_loss": Infinity,
|
| 176 |
+
"eval_runtime": 54.747,
|
| 177 |
+
"eval_samples_per_second": 13.663,
|
| 178 |
+
"eval_steps_per_second": 1.717,
|
| 179 |
+
"eval_wer": 1.0,
|
| 180 |
+
"step": 1700
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 7.69,
|
| 184 |
+
"eval_loss": Infinity,
|
| 185 |
+
"eval_runtime": 54.4355,
|
| 186 |
+
"eval_samples_per_second": 13.741,
|
| 187 |
+
"eval_steps_per_second": 1.727,
|
| 188 |
+
"eval_wer": 1.0,
|
| 189 |
+
"step": 1800
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 8.12,
|
| 193 |
+
"eval_loss": Infinity,
|
| 194 |
+
"eval_runtime": 54.7161,
|
| 195 |
+
"eval_samples_per_second": 13.671,
|
| 196 |
+
"eval_steps_per_second": 1.718,
|
| 197 |
+
"eval_wer": 1.0,
|
| 198 |
+
"step": 1900
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 8.55,
|
| 202 |
+
"learning_rate": 6.213496932515337e-06,
|
| 203 |
+
"loss": 6.8089,
|
| 204 |
+
"step": 2000
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 8.55,
|
| 208 |
+
"eval_loss": Infinity,
|
| 209 |
+
"eval_runtime": 54.3228,
|
| 210 |
+
"eval_samples_per_second": 13.77,
|
| 211 |
+
"eval_steps_per_second": 1.73,
|
| 212 |
+
"eval_wer": 1.0,
|
| 213 |
+
"step": 2000
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 8.97,
|
| 217 |
+
"eval_loss": Infinity,
|
| 218 |
+
"eval_runtime": 54.3156,
|
| 219 |
+
"eval_samples_per_second": 13.771,
|
| 220 |
+
"eval_steps_per_second": 1.731,
|
| 221 |
+
"eval_wer": 1.0,
|
| 222 |
+
"step": 2100
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 9.4,
|
| 226 |
+
"eval_loss": Infinity,
|
| 227 |
+
"eval_runtime": 53.9347,
|
| 228 |
+
"eval_samples_per_second": 13.869,
|
| 229 |
+
"eval_steps_per_second": 1.743,
|
| 230 |
+
"eval_wer": 1.0,
|
| 231 |
+
"step": 2200
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 9.83,
|
| 235 |
+
"eval_loss": Infinity,
|
| 236 |
+
"eval_runtime": 53.9961,
|
| 237 |
+
"eval_samples_per_second": 13.853,
|
| 238 |
+
"eval_steps_per_second": 1.741,
|
| 239 |
+
"eval_wer": 1.0,
|
| 240 |
+
"step": 2300
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 10.26,
|
| 244 |
+
"eval_loss": Infinity,
|
| 245 |
+
"eval_runtime": 54.7565,
|
| 246 |
+
"eval_samples_per_second": 13.66,
|
| 247 |
+
"eval_steps_per_second": 1.717,
|
| 248 |
+
"eval_wer": 1.0,
|
| 249 |
+
"step": 2400
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 10.68,
|
| 253 |
+
"learning_rate": 5.613496932515337e-06,
|
| 254 |
+
"loss": 6.7847,
|
| 255 |
+
"step": 2500
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 10.68,
|
| 259 |
+
"eval_loss": Infinity,
|
| 260 |
+
"eval_runtime": 55.3504,
|
| 261 |
+
"eval_samples_per_second": 13.514,
|
| 262 |
+
"eval_steps_per_second": 1.698,
|
| 263 |
+
"eval_wer": 1.0,
|
| 264 |
+
"step": 2500
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 11.11,
|
| 268 |
+
"eval_loss": Infinity,
|
| 269 |
+
"eval_runtime": 54.5118,
|
| 270 |
+
"eval_samples_per_second": 13.722,
|
| 271 |
+
"eval_steps_per_second": 1.724,
|
| 272 |
+
"eval_wer": 1.0,
|
| 273 |
+
"step": 2600
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 11.54,
|
| 277 |
+
"eval_loss": Infinity,
|
| 278 |
+
"eval_runtime": 55.1125,
|
| 279 |
+
"eval_samples_per_second": 13.572,
|
| 280 |
+
"eval_steps_per_second": 1.706,
|
| 281 |
+
"eval_wer": 1.0,
|
| 282 |
+
"step": 2700
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 11.97,
|
| 286 |
+
"eval_loss": Infinity,
|
| 287 |
+
"eval_runtime": 53.9713,
|
| 288 |
+
"eval_samples_per_second": 13.859,
|
| 289 |
+
"eval_steps_per_second": 1.742,
|
| 290 |
+
"eval_wer": 1.0,
|
| 291 |
+
"step": 2800
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 12.39,
|
| 295 |
+
"eval_loss": Infinity,
|
| 296 |
+
"eval_runtime": 53.933,
|
| 297 |
+
"eval_samples_per_second": 13.869,
|
| 298 |
+
"eval_steps_per_second": 1.743,
|
| 299 |
+
"eval_wer": 1.0,
|
| 300 |
+
"step": 2900
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 12.82,
|
| 304 |
+
"learning_rate": 5.0122699386503064e-06,
|
| 305 |
+
"loss": 6.7941,
|
| 306 |
+
"step": 3000
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 12.82,
|
| 310 |
+
"eval_loss": Infinity,
|
| 311 |
+
"eval_runtime": 53.7915,
|
| 312 |
+
"eval_samples_per_second": 13.906,
|
| 313 |
+
"eval_steps_per_second": 1.747,
|
| 314 |
+
"eval_wer": 1.0,
|
| 315 |
+
"step": 3000
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 13.25,
|
| 319 |
+
"eval_loss": Infinity,
|
| 320 |
+
"eval_runtime": 54.0722,
|
| 321 |
+
"eval_samples_per_second": 13.833,
|
| 322 |
+
"eval_steps_per_second": 1.738,
|
| 323 |
+
"eval_wer": 1.0,
|
| 324 |
+
"step": 3100
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 13.68,
|
| 328 |
+
"eval_loss": Infinity,
|
| 329 |
+
"eval_runtime": 53.6653,
|
| 330 |
+
"eval_samples_per_second": 13.938,
|
| 331 |
+
"eval_steps_per_second": 1.752,
|
| 332 |
+
"eval_wer": 1.0,
|
| 333 |
+
"step": 3200
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"epoch": 14.1,
|
| 337 |
+
"eval_loss": Infinity,
|
| 338 |
+
"eval_runtime": 53.481,
|
| 339 |
+
"eval_samples_per_second": 13.986,
|
| 340 |
+
"eval_steps_per_second": 1.758,
|
| 341 |
+
"eval_wer": 1.0,
|
| 342 |
+
"step": 3300
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 14.53,
|
| 346 |
+
"eval_loss": Infinity,
|
| 347 |
+
"eval_runtime": 54.2383,
|
| 348 |
+
"eval_samples_per_second": 13.791,
|
| 349 |
+
"eval_steps_per_second": 1.733,
|
| 350 |
+
"eval_wer": 1.0,
|
| 351 |
+
"step": 3400
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 14.96,
|
| 355 |
+
"learning_rate": 4.412269938650307e-06,
|
| 356 |
+
"loss": 6.7956,
|
| 357 |
+
"step": 3500
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 14.96,
|
| 361 |
+
"eval_loss": Infinity,
|
| 362 |
+
"eval_runtime": 54.7211,
|
| 363 |
+
"eval_samples_per_second": 13.669,
|
| 364 |
+
"eval_steps_per_second": 1.718,
|
| 365 |
+
"eval_wer": 1.0,
|
| 366 |
+
"step": 3500
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 15.38,
|
| 370 |
+
"eval_loss": Infinity,
|
| 371 |
+
"eval_runtime": 54.1823,
|
| 372 |
+
"eval_samples_per_second": 13.805,
|
| 373 |
+
"eval_steps_per_second": 1.735,
|
| 374 |
+
"eval_wer": 1.0,
|
| 375 |
+
"step": 3600
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 15.81,
|
| 379 |
+
"eval_loss": Infinity,
|
| 380 |
+
"eval_runtime": 54.1656,
|
| 381 |
+
"eval_samples_per_second": 13.81,
|
| 382 |
+
"eval_steps_per_second": 1.735,
|
| 383 |
+
"eval_wer": 1.0,
|
| 384 |
+
"step": 3700
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 16.24,
|
| 388 |
+
"eval_loss": Infinity,
|
| 389 |
+
"eval_runtime": 54.5557,
|
| 390 |
+
"eval_samples_per_second": 13.711,
|
| 391 |
+
"eval_steps_per_second": 1.723,
|
| 392 |
+
"eval_wer": 1.0,
|
| 393 |
+
"step": 3800
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 16.67,
|
| 397 |
+
"eval_loss": Infinity,
|
| 398 |
+
"eval_runtime": 54.9313,
|
| 399 |
+
"eval_samples_per_second": 13.617,
|
| 400 |
+
"eval_steps_per_second": 1.711,
|
| 401 |
+
"eval_wer": 1.0,
|
| 402 |
+
"step": 3900
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 17.09,
|
| 406 |
+
"learning_rate": 3.811042944785276e-06,
|
| 407 |
+
"loss": 6.8102,
|
| 408 |
+
"step": 4000
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 17.09,
|
| 412 |
+
"eval_loss": Infinity,
|
| 413 |
+
"eval_runtime": 53.5372,
|
| 414 |
+
"eval_samples_per_second": 13.972,
|
| 415 |
+
"eval_steps_per_second": 1.756,
|
| 416 |
+
"eval_wer": 1.0,
|
| 417 |
+
"step": 4000
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 17.52,
|
| 421 |
+
"eval_loss": Infinity,
|
| 422 |
+
"eval_runtime": 53.8907,
|
| 423 |
+
"eval_samples_per_second": 13.88,
|
| 424 |
+
"eval_steps_per_second": 1.744,
|
| 425 |
+
"eval_wer": 1.0,
|
| 426 |
+
"step": 4100
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 17.95,
|
| 430 |
+
"eval_loss": Infinity,
|
| 431 |
+
"eval_runtime": 54.237,
|
| 432 |
+
"eval_samples_per_second": 13.791,
|
| 433 |
+
"eval_steps_per_second": 1.733,
|
| 434 |
+
"eval_wer": 1.0,
|
| 435 |
+
"step": 4200
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 18.38,
|
| 439 |
+
"eval_loss": Infinity,
|
| 440 |
+
"eval_runtime": 55.2609,
|
| 441 |
+
"eval_samples_per_second": 13.536,
|
| 442 |
+
"eval_steps_per_second": 1.701,
|
| 443 |
+
"eval_wer": 1.0,
|
| 444 |
+
"step": 4300
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 18.8,
|
| 448 |
+
"eval_loss": Infinity,
|
| 449 |
+
"eval_runtime": 54.5797,
|
| 450 |
+
"eval_samples_per_second": 13.705,
|
| 451 |
+
"eval_steps_per_second": 1.722,
|
| 452 |
+
"eval_wer": 1.0,
|
| 453 |
+
"step": 4400
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 19.23,
|
| 457 |
+
"learning_rate": 3.211042944785276e-06,
|
| 458 |
+
"loss": 6.7761,
|
| 459 |
+
"step": 4500
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 19.23,
|
| 463 |
+
"eval_loss": Infinity,
|
| 464 |
+
"eval_runtime": 54.9682,
|
| 465 |
+
"eval_samples_per_second": 13.608,
|
| 466 |
+
"eval_steps_per_second": 1.71,
|
| 467 |
+
"eval_wer": 1.0,
|
| 468 |
+
"step": 4500
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 19.66,
|
| 472 |
+
"eval_loss": Infinity,
|
| 473 |
+
"eval_runtime": 54.7806,
|
| 474 |
+
"eval_samples_per_second": 13.654,
|
| 475 |
+
"eval_steps_per_second": 1.716,
|
| 476 |
+
"eval_wer": 1.0,
|
| 477 |
+
"step": 4600
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 20.09,
|
| 481 |
+
"eval_loss": Infinity,
|
| 482 |
+
"eval_runtime": 53.3191,
|
| 483 |
+
"eval_samples_per_second": 14.029,
|
| 484 |
+
"eval_steps_per_second": 1.763,
|
| 485 |
+
"eval_wer": 1.0,
|
| 486 |
+
"step": 4700
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 20.51,
|
| 490 |
+
"eval_loss": Infinity,
|
| 491 |
+
"eval_runtime": 54.1748,
|
| 492 |
+
"eval_samples_per_second": 13.807,
|
| 493 |
+
"eval_steps_per_second": 1.735,
|
| 494 |
+
"eval_wer": 1.0,
|
| 495 |
+
"step": 4800
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 20.94,
|
| 499 |
+
"eval_loss": Infinity,
|
| 500 |
+
"eval_runtime": 53.7395,
|
| 501 |
+
"eval_samples_per_second": 13.919,
|
| 502 |
+
"eval_steps_per_second": 1.749,
|
| 503 |
+
"eval_wer": 1.0,
|
| 504 |
+
"step": 4900
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 21.37,
|
| 508 |
+
"learning_rate": 2.6085889570552147e-06,
|
| 509 |
+
"loss": 6.8063,
|
| 510 |
+
"step": 5000
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 21.37,
|
| 514 |
+
"eval_loss": Infinity,
|
| 515 |
+
"eval_runtime": 54.3884,
|
| 516 |
+
"eval_samples_per_second": 13.753,
|
| 517 |
+
"eval_steps_per_second": 1.728,
|
| 518 |
+
"eval_wer": 1.0,
|
| 519 |
+
"step": 5000
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 21.79,
|
| 523 |
+
"eval_loss": Infinity,
|
| 524 |
+
"eval_runtime": 54.0413,
|
| 525 |
+
"eval_samples_per_second": 13.841,
|
| 526 |
+
"eval_steps_per_second": 1.739,
|
| 527 |
+
"eval_wer": 1.0,
|
| 528 |
+
"step": 5100
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 22.22,
|
| 532 |
+
"eval_loss": Infinity,
|
| 533 |
+
"eval_runtime": 53.5209,
|
| 534 |
+
"eval_samples_per_second": 13.976,
|
| 535 |
+
"eval_steps_per_second": 1.756,
|
| 536 |
+
"eval_wer": 1.0,
|
| 537 |
+
"step": 5200
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 22.65,
|
| 541 |
+
"eval_loss": Infinity,
|
| 542 |
+
"eval_runtime": 53.6053,
|
| 543 |
+
"eval_samples_per_second": 13.954,
|
| 544 |
+
"eval_steps_per_second": 1.754,
|
| 545 |
+
"eval_wer": 1.0,
|
| 546 |
+
"step": 5300
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 23.08,
|
| 550 |
+
"eval_loss": Infinity,
|
| 551 |
+
"eval_runtime": 53.6011,
|
| 552 |
+
"eval_samples_per_second": 13.955,
|
| 553 |
+
"eval_steps_per_second": 1.754,
|
| 554 |
+
"eval_wer": 1.0,
|
| 555 |
+
"step": 5400
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 23.5,
|
| 559 |
+
"learning_rate": 2.0085889570552145e-06,
|
| 560 |
+
"loss": 6.7934,
|
| 561 |
+
"step": 5500
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 23.5,
|
| 565 |
+
"eval_loss": Infinity,
|
| 566 |
+
"eval_runtime": 53.8555,
|
| 567 |
+
"eval_samples_per_second": 13.889,
|
| 568 |
+
"eval_steps_per_second": 1.745,
|
| 569 |
+
"eval_wer": 1.0,
|
| 570 |
+
"step": 5500
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 23.93,
|
| 574 |
+
"eval_loss": Infinity,
|
| 575 |
+
"eval_runtime": 53.8589,
|
| 576 |
+
"eval_samples_per_second": 13.888,
|
| 577 |
+
"eval_steps_per_second": 1.745,
|
| 578 |
+
"eval_wer": 1.0,
|
| 579 |
+
"step": 5600
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 24.36,
|
| 583 |
+
"eval_loss": Infinity,
|
| 584 |
+
"eval_runtime": 53.7804,
|
| 585 |
+
"eval_samples_per_second": 13.908,
|
| 586 |
+
"eval_steps_per_second": 1.748,
|
| 587 |
+
"eval_wer": 1.0,
|
| 588 |
+
"step": 5700
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 24.79,
|
| 592 |
+
"eval_loss": Infinity,
|
| 593 |
+
"eval_runtime": 53.7894,
|
| 594 |
+
"eval_samples_per_second": 13.906,
|
| 595 |
+
"eval_steps_per_second": 1.748,
|
| 596 |
+
"eval_wer": 1.0,
|
| 597 |
+
"step": 5800
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 25.21,
|
| 601 |
+
"eval_loss": Infinity,
|
| 602 |
+
"eval_runtime": 54.0321,
|
| 603 |
+
"eval_samples_per_second": 13.844,
|
| 604 |
+
"eval_steps_per_second": 1.74,
|
| 605 |
+
"eval_wer": 1.0,
|
| 606 |
+
"step": 5900
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 25.64,
|
| 610 |
+
"learning_rate": 1.4085889570552147e-06,
|
| 611 |
+
"loss": 6.7819,
|
| 612 |
+
"step": 6000
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 25.64,
|
| 616 |
+
"eval_loss": Infinity,
|
| 617 |
+
"eval_runtime": 53.8026,
|
| 618 |
+
"eval_samples_per_second": 13.903,
|
| 619 |
+
"eval_steps_per_second": 1.747,
|
| 620 |
+
"eval_wer": 1.0,
|
| 621 |
+
"step": 6000
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 26.07,
|
| 625 |
+
"eval_loss": Infinity,
|
| 626 |
+
"eval_runtime": 57.7929,
|
| 627 |
+
"eval_samples_per_second": 12.943,
|
| 628 |
+
"eval_steps_per_second": 1.626,
|
| 629 |
+
"eval_wer": 1.0,
|
| 630 |
+
"step": 6100
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 26.5,
|
| 634 |
+
"eval_loss": Infinity,
|
| 635 |
+
"eval_runtime": 55.4788,
|
| 636 |
+
"eval_samples_per_second": 13.483,
|
| 637 |
+
"eval_steps_per_second": 1.694,
|
| 638 |
+
"eval_wer": 1.0,
|
| 639 |
+
"step": 6200
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 26.92,
|
| 643 |
+
"eval_loss": Infinity,
|
| 644 |
+
"eval_runtime": 55.3669,
|
| 645 |
+
"eval_samples_per_second": 13.51,
|
| 646 |
+
"eval_steps_per_second": 1.698,
|
| 647 |
+
"eval_wer": 1.0,
|
| 648 |
+
"step": 6300
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 27.35,
|
| 652 |
+
"eval_loss": Infinity,
|
| 653 |
+
"eval_runtime": 54.9557,
|
| 654 |
+
"eval_samples_per_second": 13.611,
|
| 655 |
+
"eval_steps_per_second": 1.71,
|
| 656 |
+
"eval_wer": 1.0,
|
| 657 |
+
"step": 6400
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 27.78,
|
| 661 |
+
"learning_rate": 8.07361963190184e-07,
|
| 662 |
+
"loss": 6.8278,
|
| 663 |
+
"step": 6500
|
| 664 |
+
},
|
| 665 |
+
{
|
| 666 |
+
"epoch": 27.78,
|
| 667 |
+
"eval_loss": Infinity,
|
| 668 |
+
"eval_runtime": 54.648,
|
| 669 |
+
"eval_samples_per_second": 13.688,
|
| 670 |
+
"eval_steps_per_second": 1.72,
|
| 671 |
+
"eval_wer": 1.0,
|
| 672 |
+
"step": 6500
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 28.21,
|
| 676 |
+
"eval_loss": Infinity,
|
| 677 |
+
"eval_runtime": 54.7948,
|
| 678 |
+
"eval_samples_per_second": 13.651,
|
| 679 |
+
"eval_steps_per_second": 1.715,
|
| 680 |
+
"eval_wer": 1.0,
|
| 681 |
+
"step": 6600
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 28.63,
|
| 685 |
+
"eval_loss": Infinity,
|
| 686 |
+
"eval_runtime": 54.9921,
|
| 687 |
+
"eval_samples_per_second": 13.602,
|
| 688 |
+
"eval_steps_per_second": 1.709,
|
| 689 |
+
"eval_wer": 1.0,
|
| 690 |
+
"step": 6700
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 29.06,
|
| 694 |
+
"eval_loss": NaN,
|
| 695 |
+
"eval_runtime": 54.8536,
|
| 696 |
+
"eval_samples_per_second": 13.636,
|
| 697 |
+
"eval_steps_per_second": 1.714,
|
| 698 |
+
"eval_wer": 1.0,
|
| 699 |
+
"step": 6800
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"epoch": 29.49,
|
| 703 |
+
"eval_loss": NaN,
|
| 704 |
+
"eval_runtime": 54.728,
|
| 705 |
+
"eval_samples_per_second": 13.668,
|
| 706 |
+
"eval_steps_per_second": 1.718,
|
| 707 |
+
"eval_wer": 1.0,
|
| 708 |
+
"step": 6900
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"epoch": 29.91,
|
| 712 |
+
"learning_rate": 2.282208588957055e-07,
|
| 713 |
+
"loss": 6.7427,
|
| 714 |
+
"step": 7000
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 29.91,
|
| 718 |
+
"eval_loss": NaN,
|
| 719 |
+
"eval_runtime": 54.4734,
|
| 720 |
+
"eval_samples_per_second": 13.731,
|
| 721 |
+
"eval_steps_per_second": 1.726,
|
| 722 |
+
"eval_wer": 1.0,
|
| 723 |
+
"step": 7000
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 30.0,
|
| 727 |
+
"step": 7020,
|
| 728 |
+
"total_flos": 8.526629534148013e+18,
|
| 729 |
+
"train_loss": 7.303107645844462,
|
| 730 |
+
"train_runtime": 22559.2753,
|
| 731 |
+
"train_samples_per_second": 9.943,
|
| 732 |
+
"train_steps_per_second": 0.311
|
| 733 |
+
}
|
| 734 |
+
],
|
| 735 |
+
"logging_steps": 500,
|
| 736 |
+
"max_steps": 7020,
|
| 737 |
+
"num_train_epochs": 30,
|
| 738 |
+
"save_steps": 500,
|
| 739 |
+
"total_flos": 8.526629534148013e+18,
|
| 740 |
+
"trial_name": null,
|
| 741 |
+
"trial_params": null
|
| 742 |
+
}
|