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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_da0.1 |
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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_da0.1 |
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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: 17.4872 |
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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: 0.0001 |
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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: 1000 |
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- training_steps: 3500 |
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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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| 37.4028 | 50.0 | 250 | 20.8788 | 1.0 | |
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| 15.6492 | 100.0 | 500 | 19.7127 | 1.0 | |
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| 16.1334 | 150.0 | 750 | 20.9635 | 1.0 | |
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| 20.9127 | 200.0 | 1000 | 17.5870 | 1.0 | |
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| 18.6712 | 250.0 | 1250 | 17.4758 | 1.0 | |
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| 18.5148 | 300.0 | 1500 | 17.4736 | 1.0 | |
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| 18.4769 | 350.0 | 1750 | 17.4742 | 1.0 | |
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| 18.5946 | 400.0 | 2000 | 17.5825 | 1.0 | |
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| 18.4632 | 450.0 | 2250 | 17.4559 | 1.0 | |
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| 18.3947 | 500.0 | 2500 | 17.4270 | 1.0 | |
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| 18.573 | 550.0 | 2750 | 17.5461 | 1.0 | |
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| 18.4756 | 600.0 | 3000 | 17.5971 | 1.0 | |
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| 18.4707 | 650.0 | 3250 | 17.5327 | 1.0 | |
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| 18.5019 | 700.0 | 3500 | 17.4872 | 1.0 | |
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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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