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End of training

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  1. README.md +8 -8
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.5797
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- - eval_wer: 0.7171
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- - eval_runtime: 38.1008
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- - eval_samples_per_second: 21.286
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- - eval_steps_per_second: 2.677
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- - epoch: 3.94
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- - step: 2000
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  ## Model description
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@@ -50,7 +50,7 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 32
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 500
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  - num_epochs: 30
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 1.5610
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+ - eval_wer: 0.9291
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+ - eval_runtime: 39.0397
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+ - eval_samples_per_second: 20.774
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+ - eval_steps_per_second: 2.613
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+ - epoch: 26.01
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+ - step: 13200
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  ## Model description
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  - total_train_batch_size: 32
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 100
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  - num_epochs: 30
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  ### Framework versions
pytorch_model.bin CHANGED
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