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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: wav2vec_cv |
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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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# wav2vec_cv |
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.1760 |
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- Wer: 1.0 |
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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: 0.003 |
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- train_batch_size: 6 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 12 |
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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: 20 |
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- num_epochs: 60 |
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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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| 7.1467 | 4.29 | 30 | 4.2173 | 1.0 | |
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| 6.8918 | 8.57 | 60 | 4.2004 | 1.0 | |
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| 5.4913 | 12.86 | 90 | 4.2007 | 1.0 | |
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| 5.3906 | 17.14 | 120 | 4.1765 | 1.0 | |
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| 4.9212 | 21.43 | 150 | 4.1714 | 1.0 | |
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| 4.3916 | 25.71 | 180 | 4.1811 | 1.0 | |
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| 5.2255 | 30.0 | 210 | 4.1633 | 1.0 | |
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| 4.501 | 34.29 | 240 | 4.2050 | 1.0 | |
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| 4.4328 | 38.57 | 270 | 4.1572 | 1.0 | |
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| 4.2136 | 42.86 | 300 | 4.1698 | 1.0 | |
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| 4.3353 | 47.14 | 330 | 4.1721 | 1.0 | |
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| 4.1805 | 51.43 | 360 | 4.1804 | 1.0 | |
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| 4.1695 | 55.71 | 390 | 4.1801 | 1.0 | |
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| 4.2978 | 60.0 | 420 | 4.1760 | 1.0 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 1.18.3 |
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- Tokenizers 0.12.1 |
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