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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-large-xlsr-53 |
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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: xlsr-nm-nomi |
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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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# xlsr-nm-nomi |
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3324 |
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- Wer: 0.3245 |
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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: 0.0004 |
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- train_batch_size: 8 |
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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: 16 |
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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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- lr_scheduler_warmup_steps: 132 |
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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 | |
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|:-------------:|:-------:|:----:|:---------------:|:------:| |
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| 4.9773 | 6.0606 | 200 | 3.0522 | 1.0 | |
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| 2.8875 | 12.1212 | 400 | 2.3569 | 0.9959 | |
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| 1.5131 | 18.1818 | 600 | 0.5795 | 0.6024 | |
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| 0.4675 | 24.2424 | 800 | 0.4022 | 0.4523 | |
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| 0.2474 | 30.3030 | 1000 | 0.3396 | 0.4422 | |
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| 0.1573 | 36.3636 | 1200 | 0.3188 | 0.3611 | |
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| 0.1162 | 42.4242 | 1400 | 0.3450 | 0.3570 | |
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| 0.0858 | 48.4848 | 1600 | 0.3162 | 0.3469 | |
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| 0.0675 | 54.5455 | 1800 | 0.2832 | 0.3327 | |
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| 0.058 | 60.6061 | 2000 | 0.2904 | 0.3266 | |
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| 0.0415 | 66.6667 | 2200 | 0.3555 | 0.3306 | |
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| 0.0348 | 72.7273 | 2400 | 0.3116 | 0.3327 | |
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| 0.0234 | 78.7879 | 2600 | 0.2944 | 0.3245 | |
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| 0.0215 | 84.8485 | 2800 | 0.3259 | 0.3266 | |
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| 0.0208 | 90.9091 | 3000 | 0.3312 | 0.3185 | |
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| 0.0168 | 96.9697 | 3200 | 0.3324 | 0.3245 | |
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### Framework versions |
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- Transformers 4.47.0.dev0 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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