wav2vec2-large-xlsr-finetune-spanish-col
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-spanish on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7105
- Wer: 0.9824
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
7.2829 | 3.25 | 400 | 2.9632 | 1.0 |
2.9664 | 6.5 | 800 | 2.8494 | 1.0542 |
2.8353 | 9.76 | 1200 | 2.8352 | 1.0101 |
2.7863 | 13.01 | 1600 | 2.7421 | 0.9837 |
2.762 | 16.26 | 2000 | 2.7254 | 0.9861 |
2.7483 | 19.51 | 2400 | 2.7228 | 0.9874 |
2.7482 | 22.76 | 2800 | 2.7228 | 0.9999 |
2.7373 | 26.02 | 3200 | 2.7163 | 0.9824 |
2.7328 | 29.27 | 3600 | 2.7105 | 0.9824 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.1+cu102
- Datasets 1.13.3
- Tokenizers 0.10.3
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