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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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datasets: |
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- common_voice_1_0 |
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model-index: |
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- name: dat259-wav2vec2-en2 |
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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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# dat259-wav2vec2-en2 |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the common_voice_1_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4036 |
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- Wer: 0.5090 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 300 |
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- num_epochs: 20 |
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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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| 4.4355 | 1.82 | 200 | 3.0307 | 1.0 | |
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| 2.1744 | 3.64 | 400 | 1.5661 | 0.7449 | |
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| 0.5535 | 5.45 | 600 | 1.3005 | 0.5914 | |
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| 0.3248 | 7.27 | 800 | 1.2481 | 0.5690 | |
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| 0.2297 | 9.09 | 1000 | 1.2810 | 0.5366 | |
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| 0.18 | 10.91 | 1200 | 1.3481 | 0.5378 | |
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| 0.1499 | 12.73 | 1400 | 1.3124 | 0.5350 | |
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| 0.1283 | 14.55 | 1600 | 1.3668 | 0.5161 | |
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| 0.1089 | 16.36 | 1800 | 1.3833 | 0.5109 | |
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| 0.0973 | 18.18 | 2000 | 1.3876 | 0.5075 | |
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| 0.0897 | 20.0 | 2200 | 1.4036 | 0.5090 | |
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### Framework versions |
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- Transformers 4.21.1 |
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- Pytorch 1.12.1+cu102 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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