End of training

README.md

@@ -20,7 +20,7 @@ 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 16.1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9073
+- Loss: 0.9306
 
 ## Model description
 
@@ -48,7 +48,7 @@ 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_ratio: 0.1
-- num_epochs: 7
+- num_epochs: 9
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -61,7 +61,9 @@ The following hyperparameters were used during training:
 | 0.6056        | 4.0   | 10112 | 0.8839          |
 | 0.4569        | 5.0   | 12640 | 0.9000          |
 | 0.4929        | 6.0   | 15169 | 0.8907          |
-| 0.3637        | 7.0   | 17696 | 0.9073          |
+| 0.3831        | 7.0   | 17696 | 0.9161          |
+| 0.379         | 8.0   | 20225 | 0.9116          |
+| 0.3041        | 9.0   | 22752 | 0.9306          |
 
 
 ### Framework versions

adapter_model.safetensors

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 size 19548472

runs/Sep02_18-49-40_04ecb1d59182/events.out.tfevents.1725302982.04ecb1d59182.23.0

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+size 51782