End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 52.95489047928865
+      value: 51.21087255114581
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ 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 ASR Wolof Dataset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0929
-- Wer: 52.9549
+- Loss: 1.1760
+- Wer: 51.2109
 
 ## Model description
 
@@ -61,16 +61,15 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 32
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
-- num_epochs: 3
+- num_epochs: 2
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.1788        | 1.0   | 450  | 1.0593          | 54.4766 |
-| 0.1082        | 2.0   | 900  | 1.0710          | 53.9887 |
-| 0.0663        | 3.0   | 1350 | 1.0929          | 52.9549 |
+| 0.0367        | 1.0   | 450  | 1.1685          | 50.4807 |
+| 0.0191        | 2.0   | 900  | 1.1760          | 51.2109 |
 
 
 ### Framework versions

model.safetensors

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 size 966995080

runs/Dec02_01-02-33_7931188d900a/events.out.tfevents.1733101355.7931188d900a.30.1

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