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End of training

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README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 22.26516425326875
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  ---
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  <!-- 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. -->
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Papi ASR Test dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2038
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- - Wer: 22.2652
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  ## Model description
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@@ -67,11 +67,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|
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- | 0.8909 | 0.34 | 200 | 0.8337 | 59.4875 |
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- | 0.4264 | 0.69 | 400 | 0.4114 | 33.3977 |
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- | 0.2452 | 1.03 | 600 | 0.2663 | 26.1676 |
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- | 0.1953 | 1.38 | 800 | 0.2188 | 24.0369 |
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- | 0.1699 | 1.72 | 1000 | 0.2038 | 22.2652 |
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  ### Framework versions
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 29.977162647125255
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Papi ASR Test dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1243
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+ - Wer: 29.9772
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.0881 | 0.34 | 200 | 0.1414 | 23.3066 |
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+ | 0.0563 | 0.69 | 400 | 0.1388 | 23.8738 |
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+ | 0.0416 | 1.03 | 600 | 0.1367 | 26.2630 |
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+ | 0.044 | 1.38 | 800 | 0.1295 | 29.1289 |
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+ | 0.0546 | 1.72 | 1000 | 0.1243 | 29.9772 |
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  ### Framework versions
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