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  1. README.md +14 -2
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@@ -4,6 +4,8 @@ license: apache-2.0
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  base_model: facebook/wav2vec2-xls-r-300m
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: libri-wav2vec2-xlsr-300m-phoneme-demo
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  results: []
@@ -15,6 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # libri-wav2vec2-xlsr-300m-phoneme-demo
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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 None dataset.
 
 
 
 
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  ## Model description
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@@ -35,18 +41,24 @@ More information needed
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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: 4
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- - eval_batch_size: 2
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  - seed: 42
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  - gradient_accumulation_steps: 8
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  - total_train_batch_size: 32
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 1000
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- - num_epochs: 2
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  - mixed_precision_training: Native AMP
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  ### Training results
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  ### Framework versions
 
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  base_model: facebook/wav2vec2-xls-r-300m
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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: libri-wav2vec2-xlsr-300m-phoneme-demo
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  results: []
 
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  # libri-wav2vec2-xlsr-300m-phoneme-demo
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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 None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 17.5394
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+ - Wer: 3.3218
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+ - Cer: 0.9677
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  ## Model description
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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: 4
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+ - eval_batch_size: 4
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  - seed: 42
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  - gradient_accumulation_steps: 8
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  - total_train_batch_size: 32
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 1000
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+ - num_epochs: 20
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  - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | No log | 5.0 | 5 | 17.5401 | 3.3057 | 0.9626 |
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+ | No log | 10.0 | 10 | 17.5399 | 3.3356 | 0.9671 |
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+ | No log | 15.0 | 15 | 17.5399 | 3.3126 | 0.9624 |
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+ | No log | 20.0 | 20 | 17.5394 | 3.3218 | 0.9677 |
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  ### Framework versions