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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base-960h |
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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: wav2vecvanilla |
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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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# wav2vecvanilla |
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co./facebook/wav2vec2-base-960h) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8028 |
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- Wer: 0.3041 |
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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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- 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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- 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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| 1.1729 | 1.69 | 100 | 1.0048 | 0.3681 | |
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| 1.0722 | 3.39 | 200 | 0.9117 | 0.3511 | |
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| 0.9994 | 5.08 | 300 | 0.9302 | 0.3436 | |
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| 0.9576 | 6.78 | 400 | 0.8246 | 0.3320 | |
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| 0.9826 | 8.47 | 500 | 0.7846 | 0.3343 | |
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| 0.801 | 10.17 | 600 | 0.8600 | 0.3269 | |
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| 0.8174 | 11.86 | 700 | 0.7871 | 0.3186 | |
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| 0.7162 | 13.56 | 800 | 0.8164 | 0.3186 | |
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| 0.7447 | 15.25 | 900 | 0.8965 | 0.3084 | |
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| 0.6889 | 16.95 | 1000 | 0.8239 | 0.3057 | |
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| 0.6739 | 18.64 | 1100 | 0.8028 | 0.3041 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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