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 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1952
+- Loss: 0.1946
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.2371        | 1.0   | 491  | 0.2804          |
-| 0.1518        | 2.0   | 982  | 0.2104          |
-| 0.0789        | 3.0   | 1473 | 0.1952          |
+| 0.2346        | 1.0   | 491  | 0.2726          |
+| 0.1467        | 2.0   | 982  | 0.2088          |
+| 0.077         | 3.0   | 1473 | 0.1946          |
 
 
 ### Framework versions

adapter_config.json

@@ -25,8 +25,8 @@
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   "use_dora": false,

adapter_model.safetensors

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runs/Nov17_19-49-33_c7384ac2ea13/events.out.tfevents.1731872979.c7384ac2ea13.23.0

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training_args.bin

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