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xls-r-300m-cicipu-60

Automatic Speech Recognition
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wav2vec2
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  1. README.md +8 -13
  2. model.safetensors +1 -1
README.md CHANGED
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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: 0.0565
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- - Cer: 0.0106
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0003
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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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  - gradient_accumulation_steps: 2
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- - total_train_batch_size: 16
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  - optimizer: Use OptimizerNames.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: 500
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  | Training Loss | Epoch | Step | Validation Loss | Cer |
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  |:-------------:|:-------:|:----:|:---------------:|:------:|
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- | 4.032 | 3.4188 | 400 | 2.5488 | 0.6558 |
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- | 1.9345 | 6.8376 | 800 | 1.1505 | 0.2633 |
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- | 1.2868 | 10.2564 | 1200 | 0.6943 | 0.1650 |
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- | 0.9263 | 13.6752 | 1600 | 0.4175 | 0.0910 |
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- | 0.6865 | 17.0940 | 2000 | 0.2460 | 0.0535 |
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- | 0.4985 | 20.5128 | 2400 | 0.1490 | 0.0324 |
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- | 0.371 | 23.9316 | 2800 | 0.1014 | 0.0181 |
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- | 0.2844 | 27.3504 | 3200 | 0.0565 | 0.0106 |
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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 None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5570
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+ - Cer: 0.1699
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.001
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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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  - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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  - optimizer: Use OptimizerNames.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: 500
 
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  | Training Loss | Epoch | Step | Validation Loss | Cer |
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  |:-------------:|:-------:|:----:|:---------------:|:------:|
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+ | 4.7554 | 7.4112 | 400 | 2.9454 | 0.8589 |
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+ | 2.4447 | 14.8224 | 800 | 1.3497 | 0.3602 |
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+ | 1.4779 | 22.2243 | 1200 | 0.5570 | 0.1699 |
 
 
 
 
 
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  ### Framework versions
model.safetensors CHANGED
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