wav2vec2-colab
This model is a fine-tuned version of facebook/wav2vec2-xlsr-53-espeak-cv-ft on the None dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.9155
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: 5e-06
- train_batch_size: 24
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 48
- 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 |
|---|---|---|---|---|
| 0.7628 | 7.83 | 400 | inf | 0.9155 |
| 1.0544 | 15.68 | 800 | inf | 0.9155 |
| 7.5478 | 23.52 | 1200 | inf | 0.9155 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.10.0+cu113
- Datasets 2.8.0
- Tokenizers 0.13.2
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