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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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- natbed |
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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-bem-natbed-native-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-bem-natbed-native-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 NATBED - BEM dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6841 |
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- Wer: 0.7487 |
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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: 0.0003 |
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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: 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: 100 |
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- num_epochs: 30.0 |
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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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| 4.5137 | 0.5618 | 100 | 2.5549 | 1.0 | |
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| 1.3916 | 1.1236 | 200 | 1.0883 | 0.9840 | |
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| 0.9962 | 1.6854 | 300 | 0.8153 | 0.8190 | |
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| 0.8625 | 2.2472 | 400 | 0.8690 | 0.8418 | |
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| 0.8168 | 2.8090 | 500 | 0.7395 | 0.7390 | |
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| 0.7197 | 3.3708 | 600 | 0.7596 | 0.7366 | |
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| 0.6848 | 3.9326 | 700 | 0.7033 | 0.7229 | |
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| 0.6134 | 4.4944 | 800 | 0.8300 | 0.7662 | |
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| 0.6303 | 5.0562 | 900 | 0.7365 | 0.7896 | |
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| 0.5467 | 5.6180 | 1000 | 0.6841 | 0.7487 | |
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| 0.5194 | 6.1798 | 1100 | 0.7868 | 0.6949 | |
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| 0.4617 | 6.7416 | 1200 | 0.7563 | 0.7278 | |
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| 0.4525 | 7.3034 | 1300 | 0.7276 | 0.6730 | |
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### Framework versions |
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- Transformers 4.46.0.dev0 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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