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: 1.0233
+- Loss: 0.8943
 
 ## Model description
 
@@ -48,14 +48,16 @@ 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: 2
+- num_epochs: 4
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.9794        | 1.0   | 2500 | 1.0233          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.9794        | 1.0   | 2500  | 1.0233          |
+| 0.7059        | 3.0   | 7500  | 0.8989          |
+| 0.5392        | 4.0   | 10000 | 0.8943          |
 
 
 ### Framework versions

runs/Aug11_07-46-18_8a564e7808ed/events.out.tfevents.1723362380.8a564e7808ed.27.0

@@ -1,3 +1,3 @@
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-size 47915
+oid sha256:59f5b611b21c327351b7d3c85452efd944919b9929e511c9a635758fc0e2bd0e
+size 48540