Model save

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: openai/whisper-large-v3
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: uaspeech-whisper-lg-3-Nov3
   results: []
@@ -15,13 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.0571
-- eval_wer: 8.1245
-- eval_runtime: 1939.1388
-- eval_samples_per_second: 1.276
-- eval_steps_per_second: 0.16
-- epoch: 2.0844
-- step: 2900
+- Loss: 0.0571
+- Wer: 8.1245
 
 ## Model description
 
@@ -52,6 +49,41 @@ The following hyperparameters were used during training:
 - num_epochs: 100
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 1.7741        | 0.0719 | 100  | 0.6537          | 58.1245 |
+| 0.4975        | 0.1437 | 200  | 0.4079          | 39.8141 |
+| 0.3739        | 0.2156 | 300  | 0.3398          | 33.3872 |
+| 0.3037        | 0.2875 | 400  | 0.2941          | 30.2344 |
+| 0.2783        | 0.3593 | 500  | 0.2456          | 26.1116 |
+| 0.2568        | 0.4312 | 600  | 0.2270          | 25.1011 |
+| 0.2012        | 0.5031 | 700  | 0.2372          | 25.9903 |
+| 0.2139        | 0.5749 | 800  | 0.1828          | 21.3015 |
+| 0.1649        | 0.6468 | 900  | 0.1750          | 19.7656 |
+| 0.149         | 0.7186 | 1000 | 0.1640          | 19.4826 |
+| 0.146         | 0.7905 | 1100 | 0.1444          | 17.5829 |
+| 0.1424        | 0.8624 | 1200 | 0.1305          | 15.5214 |
+| 0.116         | 0.9342 | 1300 | 0.1294          | 16.3703 |
+| 0.121         | 1.0061 | 1400 | 0.1210          | 16.1277 |
+| 0.0755        | 1.0783 | 1500 | 0.1022          | 13.7833 |
+| 0.0754        | 1.1502 | 1600 | 0.0814          | 11.1156 |
+| 0.0919        | 1.2221 | 1700 | 0.0849          | 11.6815 |
+| 0.0801        | 1.2939 | 1800 | 0.0827          | 11.4794 |
+| 0.0751        | 1.3658 | 1900 | 0.0757          | 10.3476 |
+| 0.0727        | 1.4377 | 2000 | 0.0820          | 11.2773 |
+| 0.0797        | 1.5095 | 2100 | 0.0582          | 8.5287  |
+| 0.0712        | 1.5814 | 2200 | 0.0672          | 10.2264 |
+| 0.0655        | 1.6533 | 2300 | 0.0736          | 10.2668 |
+| 0.0635        | 1.7251 | 2400 | 0.0641          | 9.4988  |
+| 0.0646        | 1.7970 | 2500 | 0.0552          | 8.8521  |
+| 0.0618        | 1.8688 | 2600 | 0.0596          | 8.3670  |
+| 0.063         | 1.9407 | 2700 | 0.0517          | 7.7607  |
+| 0.0628        | 2.0126 | 2800 | 0.0448          | 6.2247  |
+| 0.029         | 2.0844 | 2900 | 0.0571          | 8.1245  |
+
+
 ### Framework versions
 
 - Transformers 4.43.4

model-00001-of-00002.safetensors

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model-00002-of-00002.safetensors

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