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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: wav2vec2-large-TIMIT-IPA |
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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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# wav2vec2-large-TIMIT-IPA |
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This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3130 |
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- Per: 0.0550 |
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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: 64 |
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- eval_batch_size: 16 |
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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: 100 |
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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 | Per | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 4.3003 | 6.85 | 500 | 3.8093 | 0.9424 | |
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| 1.7151 | 13.7 | 1000 | 0.2929 | 0.0708 | |
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| 0.2212 | 20.55 | 1500 | 0.2259 | 0.0575 | |
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| 0.1241 | 27.4 | 2000 | 0.2716 | 0.0595 | |
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| 0.0917 | 34.25 | 2500 | 0.2902 | 0.0606 | |
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| 0.0659 | 41.1 | 3000 | 0.2982 | 0.0570 | |
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| 0.0532 | 47.95 | 3500 | 0.2770 | 0.0595 | |
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| 0.0438 | 54.79 | 4000 | 0.2953 | 0.0579 | |
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| 0.0368 | 61.64 | 4500 | 0.3151 | 0.0572 | |
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| 0.0303 | 68.49 | 5000 | 0.3425 | 0.0576 | |
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| 0.0281 | 75.34 | 5500 | 0.3065 | 0.0558 | |
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| 0.0215 | 82.19 | 6000 | 0.3288 | 0.0558 | |
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| 0.0185 | 89.04 | 6500 | 0.3288 | 0.0558 | |
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| 0.018 | 95.89 | 7000 | 0.3130 | 0.0550 | |
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### Framework versions |
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- Transformers 4.20.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.6.2.dev0 |
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- Tokenizers 0.12.1 |
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