End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 16.282764098490865
+      value: 15.869737887212073
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Chinese English dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3679
-- Wer: 16.2828
+- Loss: 0.3498
+- Wer: 15.8697
 
 ## Model description
 
@@ -61,15 +61,14 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 1500
+- training_steps: 1000
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.2648        | 1.6667 | 500  | 0.3492          | 17.8078 |
-| 0.0191        | 3.3333 | 1000 | 0.3622          | 16.0286 |
-| 0.0058        | 5.0    | 1500 | 0.3679          | 16.2828 |
+| 0.2649        | 1.6667 | 500  | 0.3489          | 17.7442 |
+| 0.0297        | 3.3333 | 1000 | 0.3498          | 15.8697 |
 
 
 ### Framework versions