End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 98.78707976268953
+      value: 74.31180859274504
 ---
 
 <!-- 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-large-v3](https://huggingface.co/openai/whisper-large-v3) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.5330
-- Wer: 98.7871
+- Loss: 2.8726
+- Wer: 74.3118
 
 ## Model description
 
@@ -54,7 +54,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 1.25e-05
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
@@ -66,12 +66,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer      |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0573        | 13.89 | 1000 | 2.1023          | 109.3738 |
-| 0.0122        | 27.78 | 2000 | 2.3627          | 66.3810  |
-| 0.0088        | 41.67 | 3000 | 2.4397          | 89.5320  |
-| 0.0072        | 55.56 | 4000 | 2.5330          | 98.7871  |
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0539        | 13.89 | 1000 | 2.3264          | 87.0594 |
+| 0.0116        | 27.78 | 2000 | 2.5778          | 91.6517 |
+| 0.0072        | 41.67 | 3000 | 2.8216          | 76.4729 |
+| 0.0074        | 55.56 | 4000 | 2.8726          | 74.3118 |
 
 
 ### Framework versions

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training_args.bin

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