End of training

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: whisper-try1
   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: 1.2065
-- eval_wer: 0.3535
-- eval_runtime: 15.3966
-- eval_samples_per_second: 0.649
-- eval_steps_per_second: 0.065
-- epoch: 71.4286
-- step: 1000
+- Loss: 1.4609
+- Wer: 0.4140
 
 ## Model description
 
@@ -50,6 +47,17 @@ The following hyperparameters were used during training:
 - training_steps: 1000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 0.0744        | 14.2857 | 200  | 1.2271          | 0.3814 |
+| 0.0251        | 28.5714 | 400  | 1.2939          | 0.3907 |
+| 0.0088        | 42.8571 | 600  | 1.3904          | 0.4047 |
+| 0.004         | 57.1429 | 800  | 1.4430          | 0.4140 |
+| 0.0031        | 71.4286 | 1000 | 1.4609          | 0.4140 |
+
+
 ### Framework versions
 
 - Transformers 4.43.3