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wav2vec2-latino40
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.8795
- Wer: 1.0
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
5.6846 | 0.83 | 100 | 2.9086 | 1.0 |
2.8686 | 1.67 | 200 | 2.8922 | 1.0 |
2.8805 | 2.5 | 300 | 2.9326 | 1.0 |
2.8613 | 3.33 | 400 | 2.8698 | 1.0 |
2.8643 | 4.17 | 500 | 2.9027 | 1.0 |
2.8688 | 5.0 | 600 | 2.9544 | 1.0 |
2.8689 | 5.83 | 700 | 2.8914 | 1.0 |
2.8558 | 6.67 | 800 | 2.8762 | 1.0 |
2.8537 | 7.5 | 900 | 2.8982 | 1.0 |
2.8522 | 8.33 | 1000 | 2.8820 | 1.0 |
2.8468 | 9.17 | 1100 | 2.8760 | 1.0 |
2.8454 | 10.0 | 1200 | 2.8795 | 1.0 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3