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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: w2v2-base-pretrained_lr1e-4_at0.8_da0.3 |
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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-base-pretrained_lr1e-4_at0.8_da0.3 |
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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: 1.6989 |
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- Wer: 0.2119 |
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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: 32 |
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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: 100 |
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- num_epochs: 200 |
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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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| 18.5074 | 7.14 | 100 | 3.4425 | 1.0 | |
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| 3.1775 | 14.29 | 200 | 3.1511 | 1.0 | |
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| 3.0847 | 21.43 | 300 | 3.1561 | 1.0 | |
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| 2.9897 | 28.57 | 400 | 2.8890 | 1.0 | |
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| 1.5122 | 35.71 | 500 | 1.0324 | 0.5404 | |
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| 0.2161 | 42.86 | 600 | 1.2853 | 0.2960 | |
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| 0.1074 | 50.0 | 700 | 1.4629 | 0.2456 | |
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| 0.0707 | 57.14 | 800 | 1.5134 | 0.2183 | |
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| 0.051 | 64.29 | 900 | 1.4349 | 0.2097 | |
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| 0.04 | 71.43 | 1000 | 1.6989 | 0.2119 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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