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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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- automatic-speech-recognition |
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- bigcgen |
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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: xls-r-1b-bigcgen-female-5hrs-model |
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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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# xls-r-1b-bigcgen-female-5hrs-model |
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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 the BIGCGEN - NA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7473 |
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- Wer: 0.7080 |
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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: 3e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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: 500 |
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- num_epochs: 30.0 |
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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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| No log | 0.4237 | 100 | 3.7316 | 1.0 | |
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| No log | 0.8475 | 200 | 2.8335 | 1.0 | |
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| No log | 1.2712 | 300 | 2.0310 | 1.0 | |
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| No log | 1.6949 | 400 | 1.1695 | 0.9975 | |
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| 5.5638 | 2.1186 | 500 | 1.1579 | 0.9917 | |
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| 5.5638 | 2.5424 | 600 | 1.1173 | 0.9931 | |
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| 5.5638 | 2.9661 | 700 | 0.9185 | 0.7612 | |
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| 5.5638 | 3.3898 | 800 | 0.8461 | 0.8634 | |
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| 5.5638 | 3.8136 | 900 | 0.7551 | 0.7391 | |
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| 1.2967 | 4.2373 | 1000 | 0.8461 | 0.8179 | |
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| 1.2967 | 4.6610 | 1100 | 1.0126 | 0.9311 | |
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| 1.2967 | 5.0847 | 1200 | 0.7473 | 0.7077 | |
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| 1.2967 | 5.5085 | 1300 | 0.7741 | 0.7567 | |
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| 1.2967 | 5.9322 | 1400 | 0.8527 | 0.7521 | |
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| 0.8911 | 6.3559 | 1500 | 0.9529 | 0.8052 | |
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| 0.8911 | 6.7797 | 1600 | 1.0235 | 0.8309 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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