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--- |
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library_name: transformers |
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license: cc-by-nc-4.0 |
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base_model: facebook/mms-1b-all |
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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: wav2vec2-large-mms-1b-dzo_M3 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# wav2vec2-large-mms-1b-dzo_M3 |
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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: 0.2959 |
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- Wer: 0.3420 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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 results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 1.1643 | 1.0 | 25 | 0.7774 | 0.5192 | |
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| 0.7917 | 2.0 | 50 | 0.5777 | 0.4425 | |
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| 0.7344 | 3.0 | 75 | 0.4905 | 0.4186 | |
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| 0.6428 | 4.0 | 100 | 0.4362 | 0.4003 | |
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| 0.5454 | 5.0 | 125 | 0.3963 | 0.3855 | |
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| 0.5281 | 6.0 | 150 | 0.3619 | 0.3718 | |
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| 0.5125 | 7.0 | 175 | 0.3410 | 0.3623 | |
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| 0.4359 | 8.0 | 200 | 0.3188 | 0.3529 | |
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| 0.4189 | 9.0 | 225 | 0.3006 | 0.3394 | |
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| 0.3566 | 10.0 | 250 | 0.2959 | 0.3420 | |
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### Framework versions |
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- Transformers 4.49.0.dev0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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