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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-nomo |
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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-nomo |
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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: 1.0423 |
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- Wer: 0.3916 |
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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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| 4.7334 | 6.4590 | 200 | 3.1082 | 1.0 | |
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| 2.9544 | 12.9180 | 400 | 2.8429 | 0.9956 | |
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| 2.0771 | 19.3607 | 600 | 1.2204 | 0.8341 | |
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| 0.7271 | 25.8197 | 800 | 1.0868 | 0.5531 | |
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| 0.3103 | 32.2623 | 1000 | 1.0536 | 0.4912 | |
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| 0.1852 | 38.7213 | 1200 | 0.9030 | 0.4469 | |
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| 0.1399 | 45.1639 | 1400 | 0.8980 | 0.4491 | |
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| 0.0864 | 51.6230 | 1600 | 0.8315 | 0.4292 | |
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| 0.0643 | 58.0656 | 1800 | 0.9488 | 0.4004 | |
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| 0.0525 | 64.5246 | 2000 | 0.9354 | 0.4137 | |
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| 0.0455 | 70.9836 | 2200 | 0.9717 | 0.4093 | |
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| 0.0383 | 77.4262 | 2400 | 0.9781 | 0.4004 | |
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| 0.0261 | 83.8852 | 2600 | 1.1244 | 0.3938 | |
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| 0.0265 | 90.3279 | 2800 | 1.0439 | 0.4004 | |
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| 0.0197 | 96.7869 | 3000 | 1.0423 | 0.3916 | |
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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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