End of training

README.md

@@ -25,7 +25,7 @@ model-index:
  metrics:
  - name: Wer
  type: wer
- value: 45.834084886157086
+ value: 45.41784024530684
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,7 +36,7 @@ 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: 0.4497
-- Wer: 45.8341
+- Wer: 45.4178
 
 ## Model description
 
@@ -70,10 +70,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.3698 | 0.1074 | 1000 | 0.6211 | 55.1344 |
-| 0.2768 | 0.2148 | 2000 | 0.5376 | 50.4502 |
-| 0.2718 | 0.3222 | 3000 | 0.4804 | 45.7730 |
-| 0.2556 | 0.4296 | 4000 | 0.4497 | 45.8341 |
+| 0.3713 | 0.1074 | 1000 | 0.6230 | 55.3494 |
+| 0.2776 | 0.2148 | 2000 | 0.5377 | 50.2837 |
+| 0.2702 | 0.3222 | 3000 | 0.4806 | 45.9243 |
+| 0.2551 | 0.4296 | 4000 | 0.4497 | 45.4178 |
 
 
 ### Framework versions

model.safetensors

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runs/Oct03_17-29-27_gashtasb/events.out.tfevents.1727976569.gashtasb.277328.0

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training_args.bin

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