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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: kbd-1s-data |
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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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# kbd-1s-data |
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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: 0.1139 |
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- Wer: 0.2315 |
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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: 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: 100 |
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- num_epochs: 4 |
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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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| 2.6853 | 0.25 | 400 | 0.2931 | 0.4680 | |
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| 0.7427 | 0.5 | 800 | 0.2290 | 0.3743 | |
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| 0.6983 | 0.75 | 1200 | 0.1836 | 0.3390 | |
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| 0.6328 | 1.0 | 1600 | 0.1743 | 0.3172 | |
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| 0.61 | 1.25 | 2000 | 0.1607 | 0.2915 | |
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| 0.5941 | 1.5 | 2400 | 0.1536 | 0.2996 | |
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| 0.545 | 1.75 | 2800 | 0.1470 | 0.2787 | |
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| 0.5534 | 2.0 | 3200 | 0.1513 | 0.2754 | |
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| 0.5245 | 2.25 | 3600 | 0.1409 | 0.2661 | |
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| 0.5206 | 2.5 | 4000 | 0.1386 | 0.2676 | |
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| 0.505 | 2.75 | 4400 | 0.1313 | 0.2545 | |
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| 0.4647 | 3.0 | 4800 | 0.1249 | 0.2398 | |
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| 0.4754 | 3.25 | 5200 | 0.1225 | 0.2395 | |
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| 0.4508 | 3.5 | 5600 | 0.1194 | 0.2369 | |
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| 0.4629 | 3.75 | 6000 | 0.1152 | 0.2282 | |
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| 0.4443 | 4.0 | 6400 | 0.1139 | 0.2315 | |
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### Framework versions |
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- Transformers 4.50.0.dev0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.3.1 |
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- Tokenizers 0.21.0 |
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