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--- |
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license: apache-2.0 |
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base_model: jonatasgrosman/wav2vec2-xls-r-1b-portuguese |
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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-medical-domain02 |
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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-medical-domain02 |
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This model is a fine-tuned version of [jonatasgrosman/wav2vec2-xls-r-1b-portuguese](https://huggingface.co/jonatasgrosman/wav2vec2-xls-r-1b-portuguese) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7948 |
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- Wer: 0.7625 |
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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: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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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: 500 |
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- num_epochs: 40 |
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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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| No log | 4.9689 | 100 | 3.0689 | 1.0 | |
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| No log | 9.9379 | 200 | 0.6458 | 0.6539 | |
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| No log | 14.9068 | 300 | 0.4059 | 0.4748 | |
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| 2.4261 | 19.8758 | 400 | 0.5375 | 0.5975 | |
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| 2.4261 | 24.8447 | 500 | 0.7920 | 0.7268 | |
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| 2.4261 | 29.8137 | 600 | 0.7915 | 0.7660 | |
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| 2.4261 | 34.7826 | 700 | 0.7948 | 0.7625 | |
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| 0.7229 | 39.7516 | 800 | 0.7948 | 0.7625 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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