End of training

README.md

@@ -34,8 +34,8 @@ 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 13 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.8020
-- Wer Ortho: 88.2353
+- Loss: 2.8088
+- Wer Ortho: 94.1176
 - Wer: 93.75
 
 ## Model description
@@ -62,14 +62,15 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 500
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer   |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:-----:|
-| 0.0001        | 250.0 | 500  | 2.8020          | 88.2353   | 93.75 |
+| 0.0           | 250.0 | 500  | 3.6854          | 94.1176   | 93.75 |
+| 0.0           | 500.0 | 1000 | 2.8088          | 94.1176   | 93.75 |
 
 
 ### Framework versions

model.safetensors

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runs/Nov10_11-22-51_614eafb91609/events.out.tfevents.1699615385.614eafb91609.165.1

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