End of training

README.md

@@ -19,8 +19,8 @@ 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 15.0 and 16.1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3526
-- Wer: 67.6707
+- Loss: 0.3916
+- Wer: 68.5703
 
 ## Model description
 
@@ -46,7 +46,7 @@ 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
-- num_epochs: 2
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -59,6 +59,9 @@ The following hyperparameters were used during training:
 | 0.1994        | 1.29  | 4000 | 0.3685          | 71.1599 |
 | 0.1693        | 1.61  | 5000 | 0.3551          | 67.8206 |
 | 0.1398        | 1.93  | 6000 | 0.3526          | 67.6707 |
+| 0.1032        | 2.25  | 7000 | 0.3836          | 69.4834 |
+| 0.0745        | 2.58  | 8000 | 0.3839          | 68.5566 |
+| 0.0558        | 2.9   | 9000 | 0.3916          | 68.5703 |
 
 
 ### Framework versions

model.safetensors

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runs/Mar19_19-37-00_783dad0f4bf3/events.out.tfevents.1710877052.783dad0f4bf3.26.0

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