wav2vec2-base-timit-demo-google-colab-tryjpn
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.1527
- 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: 0.0003
- 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 |
|---|---|---|---|---|
| 48.3474 | 6.67 | 100 | 68.0887 | 1.0 |
| 7.601 | 13.33 | 200 | 8.3667 | 1.0 |
| 4.9107 | 20.0 | 300 | 5.6991 | 1.0 |
| 4.379 | 26.67 | 400 | 5.1527 | 1.0 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu102
- Datasets 1.18.3
- Tokenizers 0.12.1