End of training

README.md

@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 # whisper-btb-cv-ft-enwaucymru-lm
 
 This model is a fine-tuned version of [techiaith/whisper-large-v3-ft-btb-cv-cy](https://huggingface.co/techiaith/whisper-large-v3-ft-btb-cv-cy) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3033
 
 ## Model description
 
@@ -39,11 +41,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.4656        | 1.7065 | 500  | 0.3033          |
 
 
 ### Framework versions

model-00001-of-00002.safetensors

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model-00002-of-00002.safetensors

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runs/Jan28_09-53-04_fbf37f79c2f8/events.out.tfevents.1738057986.fbf37f79c2f8.1743.0

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training_args.bin

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