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Model save

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  1. README.md +3 -11
  2. training_args.bin +1 -1
README.md CHANGED
@@ -14,14 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-large-xlsr-georgian-demo
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  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - eval_loss: 0.5946
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- - eval_wer: 0.9896
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- - eval_runtime: 1079.0901
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- - eval_samples_per_second: 10.827
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- - eval_steps_per_second: 1.354
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- - epoch: 1.85
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- - step: 13500
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  ## Model description
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@@ -41,13 +33,13 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.003
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- - train_batch_size: 16
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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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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 200
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- - num_epochs: 2
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  ### Framework versions
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  # wav2vec2-large-xlsr-georgian-demo
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  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
 
 
 
 
 
 
 
 
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.003
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+ - train_batch_size: 32
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+ - eval_batch_size: 16
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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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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 200
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+ - num_epochs: 10
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  ### Framework versions
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