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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-colab-3 |
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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-colab-3 |
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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: 0.5807 |
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- Wer: 0.4336 |
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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 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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| 8.6531 | 1.0 | 20 | 7.3871 | 1.0 | |
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| 3.365 | 2.0 | 40 | 3.0972 | 1.0 | |
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| 2.3227 | 3.0 | 60 | 1.8379 | 0.8684 | |
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| 1.1025 | 4.0 | 80 | 0.9537 | 0.6287 | |
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| 0.8483 | 5.0 | 100 | 0.7576 | 0.5405 | |
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| 0.7097 | 6.0 | 120 | 0.6485 | 0.5041 | |
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| 0.659 | 7.0 | 140 | 0.6432 | 0.4912 | |
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| 0.5759 | 8.0 | 160 | 0.6042 | 0.4853 | |
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| 0.5178 | 9.0 | 180 | 0.5881 | 0.4630 | |
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| 0.4767 | 10.0 | 200 | 0.5807 | 0.4336 | |
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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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