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metadata
license: apache-2.0
base_model: jonatasgrosman/wav2vec2-xls-r-1b-portuguese
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: wav2vec2-xls-r-1b-medical-domain02
    results: []

wav2vec2-xls-r-1b-medical-domain02

This model is a fine-tuned version of jonatasgrosman/wav2vec2-xls-r-1b-portuguese on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7948
  • Wer: 0.7625

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0003
  • train_batch_size: 2
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 40
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
No log 4.9689 100 3.0689 1.0
No log 9.9379 200 0.6458 0.6539
No log 14.9068 300 0.4059 0.4748
2.4261 19.8758 400 0.5375 0.5975
2.4261 24.8447 500 0.7920 0.7268
2.4261 29.8137 600 0.7915 0.7660
2.4261 34.7826 700 0.7948 0.7625
0.7229 39.7516 800 0.7948 0.7625

Framework versions

  • Transformers 4.41.1
  • Pytorch 2.1.2+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1