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update model card README.md

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@@ -3,6 +3,8 @@ license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: whisper-small_finetuned_sw_chich
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  results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # whisper-small_finetuned_sw_chich
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
 
 
 
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  ## Model description
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@@ -39,10 +44,16 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: constant_with_warmup
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  - lr_scheduler_warmup_steps: 50
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- - training_steps: 100
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  ### Training results
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  ### Framework versions
 
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  base_model: openai/whisper-small
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - wer
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  model-index:
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  - name: whisper-small_finetuned_sw_chich
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  results: []
 
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  # whisper-small_finetuned_sw_chich
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7430
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+ - Wer: 80.1992
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: constant_with_warmup
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  - lr_scheduler_warmup_steps: 50
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+ - training_steps: 2000
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.0324 | 4.39 | 500 | 1.5624 | 84.6754 |
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+ | 0.0151 | 8.77 | 1000 | 1.6639 | 82.4073 |
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+ | 0.0099 | 13.16 | 1500 | 1.7377 | 78.8912 |
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+ | 0.0081 | 17.54 | 2000 | 1.7430 | 80.1992 |
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  ### Framework versions