End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 34.76977567886659
+      value: 0.3476977567886659
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,7 +34,7 @@ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.
 It achieves the following results on the evaluation set:
 - Loss: 0.6439
 - Wer Ortho: 35.0401
-- Wer: 34.7698
+- Wer: 0.3477
 
 ## Model description
 
@@ -60,13 +60,13 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 500
+- training_steps: 1
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.001         | 17.24 | 500  | 0.6439          | 35.0401   | 34.7698 |
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.0008        | 0.03  | 1    | 0.6439          | 35.0401   | 0.3477 |
 
 
 ### Framework versions