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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: mms-meta/mms-zeroshot-300m |
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tags: |
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- automatic-speech-recognition |
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- natbed |
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- mms |
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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: mms-zeroshot-300m-natbed-combined-model |
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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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# mms-zeroshot-300m-natbed-combined-model |
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This model is a fine-tuned version of [mms-meta/mms-zeroshot-300m](https://huggingface.co./mms-meta/mms-zeroshot-300m) on the NATBED - BEM dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5928 |
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- Wer: 0.5278 |
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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: 0.0003 |
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 30.0 |
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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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| No log | 0.2503 | 200 | 2.6612 | 1.0 | |
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| No log | 0.5006 | 400 | 0.7787 | 0.6601 | |
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| 3.3034 | 0.7509 | 600 | 0.7196 | 0.6194 | |
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| 3.3034 | 1.0013 | 800 | 0.6961 | 0.5966 | |
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| 0.8261 | 1.2516 | 1000 | 0.6695 | 0.5762 | |
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| 0.8261 | 1.5019 | 1200 | 0.6314 | 0.5728 | |
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| 0.8261 | 1.7522 | 1400 | 0.6478 | 0.5575 | |
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| 0.7513 | 2.0025 | 1600 | 0.6374 | 0.5554 | |
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| 0.7513 | 2.2528 | 1800 | 0.6033 | 0.5484 | |
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| 0.7173 | 2.5031 | 2000 | 0.6270 | 0.5419 | |
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| 0.7173 | 2.7534 | 2200 | 0.6057 | 0.5433 | |
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| 0.7173 | 3.0038 | 2400 | 0.5928 | 0.5278 | |
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| 0.7092 | 3.2541 | 2600 | 0.5980 | 0.5321 | |
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| 0.7092 | 3.5044 | 2800 | 0.5976 | 0.5261 | |
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| 0.696 | 3.7547 | 3000 | 0.6369 | 0.5248 | |
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### Framework versions |
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- Transformers 4.46.0.dev0 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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