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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base |
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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: models |
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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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# models |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0169 |
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- Wer: 0.2673 |
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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: 0.0001 |
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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: 1000 |
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- num_epochs: 20 |
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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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| 4.6087 | 1.26 | 500 | 3.0092 | 1.0 | |
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| 2.1293 | 2.53 | 1000 | 0.4565 | 0.6872 | |
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| 0.443 | 3.79 | 1500 | 0.1887 | 0.3995 | |
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| 0.2368 | 5.05 | 2000 | 0.0564 | 0.3034 | |
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| 0.1775 | 6.31 | 2500 | 0.0398 | 0.2964 | |
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| 0.132 | 7.58 | 3000 | 0.0574 | 0.2895 | |
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| 0.1176 | 8.84 | 3500 | 0.0298 | 0.2749 | |
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| 0.1023 | 10.1 | 4000 | 0.0243 | 0.2708 | |
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| 0.0833 | 11.36 | 4500 | 0.0235 | 0.2796 | |
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| 0.0668 | 12.63 | 5000 | 0.0160 | 0.2714 | |
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| 0.0559 | 13.89 | 5500 | 0.0264 | 0.2749 | |
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| 0.0414 | 15.15 | 6000 | 0.0157 | 0.2673 | |
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| 0.0388 | 16.41 | 6500 | 0.0231 | 0.2772 | |
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| 0.0313 | 17.68 | 7000 | 0.0168 | 0.2667 | |
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| 0.0286 | 18.94 | 7500 | 0.0169 | 0.2673 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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