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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: w2v2 |
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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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# w2v2 |
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This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8860 |
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- Wer: 0.2817 |
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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: 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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| 5.5664 | 3.07 | 500 | 3.0411 | 0.9997 | |
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| 2.5607 | 6.13 | 1000 | 1.0770 | 0.3660 | |
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| 0.9959 | 9.2 | 1500 | 0.8815 | 0.3017 | |
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| 0.8129 | 12.27 | 2000 | 0.8676 | 0.2915 | |
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| 0.7334 | 15.34 | 2500 | 0.8381 | 0.2931 | |
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| 0.669 | 18.4 | 3000 | 0.8802 | 0.2864 | |
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| 0.6312 | 21.47 | 3500 | 0.8679 | 0.2864 | |
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| 0.6094 | 24.54 | 4000 | 0.8811 | 0.2802 | |
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| 0.5987 | 27.61 | 4500 | 0.8860 | 0.2817 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 1.18.3 |
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- Tokenizers 0.12.1 |
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