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End of training

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  1. README.md +12 -6
  2. model.safetensors +1 -1
README.md CHANGED
@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: inf
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- - Wer: 0.6609
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  ## Model description
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@@ -50,15 +50,21 @@ The following hyperparameters were used during training:
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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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- - num_epochs: 1
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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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- | 4.145 | 1.0 | 398 | inf | 0.6692 |
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- | 2.8066 | 2.0 | 796 | inf | 0.6609 |
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: inf
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+ - Wer: 0.6871
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  ## Model description
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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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+ - num_epochs: 7
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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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+ | 4.145 | 1.0 | 398 | inf | 0.6692 |
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+ | 2.8066 | 2.0 | 796 | inf | 0.6609 |
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+ | 2.1619 | 1.9994 | 1588 | inf | 0.6670 |
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+ | 2.1074 | 3.0 | 2383 | inf | 0.6871 |
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+ | 2.1159 | 4.0 | 3178 | inf | 0.6871 |
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+ | 2.1113 | 5.0 | 3973 | inf | 0.6874 |
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+ | 2.1168 | 6.0 | 4768 | inf | 0.6872 |
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+ | 2.1044 | 6.9943 | 5558 | inf | 0.6871 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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