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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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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-xls-r-1b-luxembourgish-38h-11k-steps |
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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-xls-r-1b-luxembourgish-38h-11k-steps |
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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: 0.5388 |
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- Wer: 53.3282 |
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- Cer: 15.6751 |
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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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- 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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- lr_scheduler_warmup_steps: 3000 |
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- training_steps: 11000 |
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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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| 0.627 | 1.4286 | 1000 | 0.3266 | 39.7841 | 11.5375 | |
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| 0.9399 | 2.8571 | 2000 | 0.5695 | 46.6975 | 13.7326 | |
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| 0.7264 | 4.2857 | 3000 | 0.4885 | 48.5736 | 14.8389 | |
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| 0.7351 | 5.7143 | 4000 | 0.5389 | 53.3539 | 15.6838 | |
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| 0.759 | 7.1429 | 5000 | 0.5388 | 53.4567 | 15.6620 | |
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| 0.7855 | 8.5714 | 6000 | 0.5388 | 53.2768 | 15.6707 | |
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| 0.762 | 10.0 | 7000 | 0.5388 | 53.3796 | 15.7012 | |
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| 0.7479 | 11.4286 | 8000 | 0.5388 | 53.3539 | 15.6751 | |
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| 0.8233 | 12.8571 | 9000 | 0.5388 | 53.4053 | 15.6794 | |
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| 0.7284 | 14.2857 | 10000 | 0.5388 | 53.3025 | 15.6925 | |
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| 0.7415 | 15.7143 | 11000 | 0.5388 | 53.3282 | 15.6751 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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