End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 57.08661417322835
+      value: 58.26771653543307
 ---
 
 <!-- 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-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2653
-- Wer: 57.0866
+- Loss: 1.2371
+- Wer: 58.2677
 
 ## Model description
 
@@ -56,7 +56,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 16
+- train_batch_size: 32
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
@@ -69,16 +69,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 1.7861        | 0.0312 | 1    | 1.6331          | 93.3071 |
-| 1.883         | 0.0625 | 2    | 1.5606          | 61.8110 |
-| 1.7576        | 0.0938 | 3    | 1.4525          | 59.0551 |
-| 1.5225        | 0.125  | 4    | 1.3888          | 59.0551 |
-| 1.3685        | 0.1562 | 5    | 1.3456          | 57.4803 |
-| 1.353         | 0.1875 | 6    | 1.3157          | 58.2677 |
-| 1.5608        | 0.2188 | 7    | 1.2949          | 56.2992 |
-| 1.3093        | 0.25   | 8    | 1.2799          | 56.2992 |
-| 1.4337        | 0.2812 | 9    | 1.2701          | 57.0866 |
-| 1.3561        | 0.3125 | 10   | 1.2653          | 57.0866 |
+| 1.8373        | 0.0625 | 1    | 1.6351          | 93.3071 |
+| 1.7614        | 0.125  | 2    | 1.5526          | 90.9449 |
+| 1.5333        | 0.1875 | 3    | 1.4336          | 59.4488 |
+| 1.5874        | 0.25   | 4    | 1.3667          | 59.4488 |
+| 1.4808        | 0.3125 | 5    | 1.3238          | 58.2677 |
+| 1.5046        | 0.375  | 6    | 1.2933          | 56.6929 |
+| 1.3783        | 0.4375 | 7    | 1.2704          | 57.4803 |
+| 1.3692        | 0.5    | 8    | 1.2536          | 57.0866 |
+| 1.3708        | 0.5625 | 9    | 1.2426          | 57.0866 |
+| 1.3299        | 0.625  | 10   | 1.2371          | 58.2677 |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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