End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 73.49819331526649
+      value: 64.97289972899729
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [cifope/whisper-small-wolof](https://huggingface.co/cifope/whisper-small-wolof) on the fleurs dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6066
-- Wer: 73.4982
+- Loss: 1.5332
+- Wer: 64.9729
 
 ## Model description
 
@@ -61,15 +61,14 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 100
+- training_steps: 50
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 2.4692        | 1.4   | 50   | 2.1379          | 77.2358 |
-| 1.7299        | 2.8   | 100  | 1.6066          | 73.4982 |
+| 1.4814        | 1.4   | 50   | 1.5332          | 64.9729 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan28_02-56-05_7018d94f3010/events.out.tfevents.1706410566.7018d94f3010.3945.1

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special_tokens_map.json

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     "content": "<|endoftext|>",
     "lstrip": false,
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     "rstrip": false,
     "single_word": false
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training_args.bin

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