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-withctrl-whisper-lg-3-Dec4
   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: 0.2429
-- eval_wer: 27.4089
-- eval_runtime: 10829.2639
-- eval_samples_per_second: 1.128
-- eval_steps_per_second: 0.141
-- epoch: 0.0291
-- step: 200
+- Loss: 0.2429
+- Wer: 27.4089
 
 ## Model description
 
@@ -52,6 +49,14 @@ The following hyperparameters were used during training:
 - num_epochs: 100
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.8375        | 0.0146 | 100  | 0.3004          | 29.6029 |
+| 0.2765        | 0.0291 | 200  | 0.2429          | 27.4089 |
+
+
 ### Framework versions
 
 - Transformers 4.43.4

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