susmitabhatt commited on
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End of training

Browse files
README.md CHANGED
@@ -1,10 +1,10 @@
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  ---
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- base_model: facebook/wav2vec2-large-xlsr-53
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  license: apache-2.0
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- metrics:
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- - wer
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: xlsr-big-knnn
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  results: []
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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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- - Loss: 0.1153
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- - Wer: 0.1035
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  ## Model description
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@@ -46,14 +46,14 @@ 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: linear
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  - lr_scheduler_warmup_steps: 132
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- - num_epochs: 3
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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 |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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- | 0.8138 | 2.1505 | 200 | 0.1153 | 0.1035 |
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  ### Framework versions
 
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  ---
 
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  license: apache-2.0
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+ base_model: facebook/wav2vec2-large-xlsr-53
 
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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: xlsr-big-knnn
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  results: []
 
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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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+ - Loss: 1.7119
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+ - Wer: 0.9924
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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: linear
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  - lr_scheduler_warmup_steps: 132
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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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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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+ | 2.7762 | 1.0753 | 100 | 1.7119 | 0.9924 |
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  ### Framework versions
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