End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 2.8282828282828283
+      value: 1.8181818181818181
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,8 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the Azure-dataset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0201
-- Wer: 2.8283
+- Loss: 0.0219
+- Wer: 1.8182
 
 ## Model description
 
@@ -62,16 +62,14 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 4000
+- training_steps: 2000
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.075         | 6.21  | 1000 | 0.0254          | 2.2222 |
-| 0.0472        | 12.42 | 2000 | 0.0195          | 1.6162 |
-| 0.0419        | 18.63 | 3000 | 0.0204          | 2.2222 |
-| 0.0425        | 24.84 | 4000 | 0.0201          | 2.8283 |
+| 0.0756        | 6.21  | 1000 | 0.0262          | 2.1212 |
+| 0.045         | 12.42 | 2000 | 0.0219          | 1.8182 |
 
 
 ### Framework versions