End of training
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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-
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model-index:
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- name: wav2vec2-xls-r-1b-medical-domain
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results: []
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# wav2vec2-xls-r-1b-medical-domain
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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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## Model description
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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:
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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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- num_epochs: 20
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.41.1
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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-domain
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results: []
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# wav2vec2-xls-r-1b-medical-domain
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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: 0.5363
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- Wer: 0.7022
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## Model description
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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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- num_epochs: 20
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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 | 9.9379 | 200 | 0.2631 | 0.3790 |
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| 1.2151 | 19.8758 | 400 | 0.5363 | 0.7022 |
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### Framework versions
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- Transformers 4.41.1
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model.safetensors
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