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--- |
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library_name: transformers |
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license: mit |
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base_model: facebook/w2v-bert-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_17_0 |
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metrics: |
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- wer |
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model-index: |
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- name: w2v-bert-cv-grain-lg_cv_only |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: common_voice_17_0 |
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type: common_voice_17_0 |
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config: lg |
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split: test[:10%] |
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args: lg |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.5799642969652421 |
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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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# w2v-bert-cv-grain-lg_cv_only |
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This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the common_voice_17_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: inf |
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- Wer: 0.5800 |
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- Cer: 0.1379 |
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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: 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 100 |
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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 | Cer | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:| |
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| 0.5013 | 1.0 | 2221 | inf | 0.2789 | 0.0724 | |
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| 0.299 | 2.0 | 4442 | inf | 0.2501 | 0.0648 | |
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| 0.2554 | 3.0 | 6663 | inf | 0.2435 | 0.0685 | |
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| 0.2411 | 4.0 | 8884 | inf | 0.2447 | 0.0648 | |
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| 0.2886 | 5.0 | 11105 | inf | 0.2506 | 0.0654 | |
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| 0.3923 | 6.0 | 13326 | inf | 0.4237 | 0.1108 | |
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| 2.1779 | 7.0 | 15547 | inf | 0.5612 | 0.1439 | |
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| 4.5629 | 8.0 | 17768 | inf | 0.5152 | 0.1379 | |
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| 2.236 | 9.0 | 19989 | inf | 0.5787 | 0.1384 | |
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| 2.2033 | 10.0 | 22210 | inf | 0.5742 | 0.1375 | |
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| 2.2047 | 11.0 | 24431 | inf | 0.5784 | 0.1382 | |
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| 2.2057 | 12.0 | 26652 | inf | 0.5805 | 0.1390 | |
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| 2.2076 | 13.0 | 28873 | inf | 0.5800 | 0.1379 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.1 |
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