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End of training

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  1. README.md +14 -14
  2. adapter.dzo.safetensors +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4936
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- - Wer: 1.1225
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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: 8
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  - eval_batch_size: 8
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  - seed: 42
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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: 100
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  - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 13 | 6.6604 | 1.0 |
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- | No log | 2.0 | 26 | 3.7699 | 1.0 |
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- | No log | 3.0 | 39 | 3.1415 | 1.0 |
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- | No log | 4.0 | 52 | 2.6606 | 1.0 |
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- | No log | 5.0 | 65 | 1.5002 | 1.0 |
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- | No log | 6.0 | 78 | 1.0075 | 1.0 |
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- | No log | 7.0 | 91 | 0.7862 | 1.0 |
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- | 3.2148 | 8.0 | 104 | 0.6659 | 1.2530 |
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- | 3.2148 | 9.0 | 117 | 0.5483 | 1.0079 |
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- | 3.2148 | 10.0 | 130 | 0.4936 | 1.1225 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4692
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+ - Wer: 0.4020
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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: 0.004
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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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  - 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: 10
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  - mixed_precision_training: Native AMP
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.8364 | 1.0 | 13 | 1.7411 | 0.8907 |
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+ | 1.8276 | 2.0 | 26 | 1.5980 | 0.8391 |
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+ | 1.6815 | 3.0 | 39 | 1.4269 | 0.7822 |
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+ | 1.4402 | 4.0 | 52 | 1.2306 | 0.7050 |
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+ | 1.3527 | 5.0 | 65 | 1.0515 | 0.6605 |
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+ | 1.1983 | 6.0 | 78 | 0.8829 | 0.5821 |
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+ | 0.99 | 7.0 | 91 | 0.7602 | 0.5550 |
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+ | 0.9221 | 8.0 | 104 | 0.6441 | 0.4770 |
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+ | 0.8035 | 9.0 | 117 | 0.5535 | 0.4503 |
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+ | 0.6713 | 10.0 | 130 | 0.4692 | 0.4020 |
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  ### Framework versions
adapter.dzo.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 8952268
 
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