cheers again
Browse files- README.md +1 -1
- trainer_state.json +720 -0
README.md
CHANGED
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@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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# whisper4
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-
This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on
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It achieves the following results on the evaluation set:
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- Loss: 0.5409
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- Wer: 28.2719
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# whisper4
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+
This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the tiny dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5409
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- Wer: 28.2719
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trainer_state.json
ADDED
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@@ -0,0 +1,720 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 23.09402795425667,
|
| 3 |
+
"best_model_checkpoint": "whisper4/checkpoint-130",
|
| 4 |
+
"epoch": 8.333333333333334,
|
| 5 |
+
"eval_steps": 10,
|
| 6 |
+
"global_step": 300,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
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{
|
| 12 |
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"epoch": 0.1388888888888889,
|
| 13 |
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"grad_norm": 45.38771057128906,
|
| 14 |
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"learning_rate": 1.0000000000000002e-06,
|
| 15 |
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"loss": 3.9755,
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| 16 |
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"step": 5
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| 17 |
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},
|
| 18 |
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{
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| 19 |
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"epoch": 0.2777777777777778,
|
| 20 |
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"grad_norm": 42.970829010009766,
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| 21 |
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"learning_rate": 2.0000000000000003e-06,
|
| 22 |
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"loss": 3.8231,
|
| 23 |
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"step": 10
|
| 24 |
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},
|
| 25 |
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{
|
| 26 |
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"epoch": 0.2777777777777778,
|
| 27 |
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"eval_loss": 3.7088065147399902,
|
| 28 |
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"eval_runtime": 261.4715,
|
| 29 |
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"eval_samples_per_second": 1.912,
|
| 30 |
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"eval_steps_per_second": 0.241,
|
| 31 |
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"eval_wer": 76.93773824650572,
|
| 32 |
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"step": 10
|
| 33 |
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},
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| 34 |
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{
|
| 35 |
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"epoch": 0.4166666666666667,
|
| 36 |
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"grad_norm": 42.34159469604492,
|
| 37 |
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"learning_rate": 3e-06,
|
| 38 |
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"loss": 3.5982,
|
| 39 |
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"step": 15
|
| 40 |
+
},
|
| 41 |
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{
|
| 42 |
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"epoch": 0.5555555555555556,
|
| 43 |
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"grad_norm": 41.4112548828125,
|
| 44 |
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"learning_rate": 4.000000000000001e-06,
|
| 45 |
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"loss": 3.1925,
|
| 46 |
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"step": 20
|
| 47 |
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},
|
| 48 |
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{
|
| 49 |
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"epoch": 0.5555555555555556,
|
| 50 |
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"eval_loss": 2.9438674449920654,
|
| 51 |
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"eval_runtime": 254.9124,
|
| 52 |
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"eval_samples_per_second": 1.961,
|
| 53 |
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"eval_steps_per_second": 0.247,
|
| 54 |
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"eval_wer": 65.56543837357052,
|
| 55 |
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"step": 20
|
| 56 |
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},
|
| 57 |
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{
|
| 58 |
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"epoch": 0.6944444444444444,
|
| 59 |
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"grad_norm": 39.323768615722656,
|
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