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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_lr5e-5_at0.8_da0.025 |
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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_lr5e-5_at0.8_da0.025 |
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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: 9.1596 |
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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: 5e-05 |
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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: 500 |
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- training_steps: 4000 |
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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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| 33.8202 | 125.0 | 250 | 47.1503 | 1.0 | |
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| 11.5918 | 250.0 | 500 | 9.7965 | 1.0 | |
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| 10.0921 | 375.0 | 750 | 9.2904 | 1.0 | |
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| 6.6014 | 500.0 | 1000 | 9.2396 | 1.0 | |
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| 7.8557 | 625.0 | 1250 | 9.2582 | 1.0 | |
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| 7.6576 | 750.0 | 1500 | 10.7610 | 1.0 | |
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| 7.0009 | 875.0 | 1750 | 9.2900 | 1.0 | |
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| 6.6034 | 1000.0 | 2000 | 9.2763 | 1.0 | |
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| 6.5928 | 1125.0 | 2250 | 9.2703 | 1.0 | |
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| 6.5581 | 1250.0 | 2500 | 9.1374 | 1.0 | |
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| 6.4663 | 1375.0 | 2750 | 9.1508 | 1.0 | |
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| 6.4496 | 1500.0 | 3000 | 9.1802 | 1.0 | |
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| 6.4061 | 1625.0 | 3250 | 9.1858 | 1.0 | |
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| 6.4291 | 1750.0 | 3500 | 9.1535 | 1.0 | |
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| 6.4131 | 1875.0 | 3750 | 9.1450 | 1.0 | |
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| 6.4086 | 2000.0 | 4000 | 9.1596 | 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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