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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: model_wav2vec_ |
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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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# model_wav2vec_ |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4608 |
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- Wer: 0.3361 |
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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: 16 |
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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: 30 |
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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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| 3.5101 | 2.01 | 500 | 1.6030 | 1.0221 | |
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| 0.7158 | 4.02 | 1000 | 0.4599 | 0.4587 | |
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| 0.2914 | 6.02 | 1500 | 0.4092 | 0.4037 | |
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| 0.1906 | 8.03 | 2000 | 0.3927 | 0.3865 | |
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| 0.1328 | 10.04 | 2500 | 0.4067 | 0.3810 | |
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| 0.1122 | 12.05 | 3000 | 0.4128 | 0.3645 | |
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| 0.0954 | 14.06 | 3500 | 0.4469 | 0.3621 | |
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| 0.0754 | 16.06 | 4000 | 0.4296 | 0.3639 | |
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| 0.0589 | 18.07 | 4500 | 0.4434 | 0.3567 | |
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| 0.0497 | 20.08 | 5000 | 0.4597 | 0.3535 | |
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| 0.0455 | 22.09 | 5500 | 0.4854 | 0.3454 | |
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| 0.0395 | 24.1 | 6000 | 0.4615 | 0.3435 | |
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| 0.0328 | 26.1 | 6500 | 0.4714 | 0.3396 | |
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| 0.0284 | 28.11 | 7000 | 0.4608 | 0.3361 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 1.18.3 |
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- Tokenizers 0.15.0 |
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