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- library_name: transformers
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- tags: []
 
 
 
 
 
 
 
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- # Model Card for Model ID
 
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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: 0.6401
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+ - Wer: 0.6808
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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 | 0.3543 | 0.4045 |
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+ | No log | 9.9379 | 200 | 0.2721 | 0.3090 |
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+ | No log | 14.9068 | 300 | 0.2918 | 0.3371 |
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+ | 1.2666 | 19.8758 | 400 | 0.6475 | 0.8076 |
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+ | 1.2666 | 24.8447 | 500 | 0.6500 | 0.6492 |
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+ | 1.2666 | 29.8137 | 600 | 0.6380 | 0.6834 |
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+ | 1.2666 | 34.7826 | 700 | 0.6401 | 0.6808 |
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+ | 0.5863 | 39.7516 | 800 | 0.6401 | 0.6808 |
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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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