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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: MMS_Quechua_finetuned |
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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_Quechua_finetuned |
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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: 0.4424 |
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- Wer: 0.3950 |
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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: 0.001 |
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- train_batch_size: 16 |
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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: 100 |
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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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| 5.7203 | 0.1355 | 100 | 0.7301 | 0.6115 | |
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| 0.731 | 0.2710 | 200 | 0.5409 | 0.4553 | |
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| 0.5859 | 0.4065 | 300 | 0.5124 | 0.4280 | |
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| 0.549 | 0.5420 | 400 | 0.4815 | 0.4170 | |
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| 0.5341 | 0.6775 | 500 | 0.4720 | 0.4051 | |
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| 1.0055 | 0.8130 | 600 | 0.4601 | 0.4095 | |
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| 0.4943 | 0.9485 | 700 | 0.4424 | 0.3950 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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