End of training

README.md

@@ -4,6 +4,8 @@ license: apache-2.0
 base_model: openai/whisper-large
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: Whisper Large SSD superU
   results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Large SSD superU
 
 This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.4312
+- Wer: 120.4531
 
 ## Model description
 
@@ -43,6 +48,32 @@ The following hyperparameters were used during training:
 - training_steps: 2000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer      |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 3.1192        | 3.125  | 100  | 2.9964          | 142.5654 |
+| 1.7195        | 6.25   | 200  | 2.7478          | 122.2719 |
+| 0.6545        | 9.375  | 300  | 3.0978          | 127.3772 |
+| 0.1503        | 12.5   | 400  | 3.6068          | 139.0874 |
+| 0.0827        | 15.625 | 500  | 3.6768          | 115.5712 |
+| 0.0556        | 18.75  | 600  | 3.7650          | 114.9968 |
+| 0.0441        | 21.875 | 700  | 3.7594          | 125.3350 |
+| 0.0346        | 25.0   | 800  | 3.8227          | 147.7026 |
+| 0.0205        | 28.125 | 900  | 3.9344          | 120.8998 |
+| 0.0166        | 31.25  | 1000 | 3.9918          | 109.6682 |
+| 0.0127        | 34.375 | 1100 | 3.9241          | 109.3491 |
+| 0.009         | 37.5   | 1200 | 4.1503          | 110.7211 |
+| 0.0029        | 40.625 | 1300 | 4.1240          | 134.5246 |
+| 0.0007        | 43.75  | 1400 | 4.3018          | 105.5520 |
+| 0.0007        | 46.875 | 1500 | 4.3464          | 106.8283 |
+| 0.0004        | 50.0   | 1600 | 4.3809          | 115.5712 |
+| 0.0003        | 53.125 | 1700 | 4.4061          | 120.8998 |
+| 0.0002        | 56.25  | 1800 | 4.4205          | 120.2936 |
+| 0.0002        | 59.375 | 1900 | 4.4289          | 120.4212 |
+| 0.0002        | 62.5   | 2000 | 4.4312          | 120.4531 |
+
+
 ### Framework versions
 
 - Transformers 4.46.2

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