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