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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-xls-r-1b |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: wav2vec2-1b-E50 |
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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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# wav2vec2-1b-E50 |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5653 |
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- Cer: 14.0038 |
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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: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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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: 50 |
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- num_epochs: 5 |
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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 | Cer | |
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|:-------------:|:------:|:----:|:---------------:|:-------:| |
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| 10.3076 | 0.5161 | 200 | 3.6837 | 66.2829 | |
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| 1.6559 | 1.0323 | 400 | 1.1986 | 25.7695 | |
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| 0.9077 | 1.5484 | 600 | 0.9908 | 22.8912 | |
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| 0.7297 | 2.0645 | 800 | 0.7952 | 19.4549 | |
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| 0.5331 | 2.5806 | 1000 | 0.7366 | 18.3506 | |
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| 0.4468 | 3.0968 | 1200 | 0.7078 | 17.0465 | |
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| 0.3334 | 3.6129 | 1400 | 0.6080 | 15.1727 | |
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| 0.2825 | 4.1290 | 1600 | 0.5928 | 14.4796 | |
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| 0.2049 | 4.6452 | 1800 | 0.5653 | 14.0038 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.3.1.post100 |
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- Datasets 2.19.1 |
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- Tokenizers 0.20.1 |
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