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End of training

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  1. README.md +4 -4
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@@ -6,14 +6,14 @@ tags:
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  datasets:
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  - edinburghcstr/ami
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  model-index:
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- - name: wav2vec2-base-superb-sv-finetuned-ami-ten-percent-train-new
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  results: []
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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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  should probably proofread and complete it, then remove this comment. -->
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- # wav2vec2-base-superb-sv-finetuned-ami-ten-percent-train-new
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  This model is a fine-tuned version of [anton-l/wav2vec2-base-superb-sv](https://huggingface.co/anton-l/wav2vec2-base-superb-sv) on the ami dataset.
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@@ -34,8 +34,8 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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- - train_batch_size: 4
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 
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  datasets:
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  - edinburghcstr/ami
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  model-index:
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+ - name: wav2vec2-base-superb-sv-finetuned-ami-ten-percent-train-normalized
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  results: []
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # wav2vec2-base-superb-sv-finetuned-ami-ten-percent-train-normalized
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  This model is a fine-tuned version of [anton-l/wav2vec2-base-superb-sv](https://huggingface.co/anton-l/wav2vec2-base-superb-sv) on the ami dataset.
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08