wav2vec2-finetuned-mrt
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: 45.0632
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 63.4977 | 2.3810 | 100 | 55.7428 |
| 55.4934 | 4.7619 | 200 | 52.5311 |
| 53.5505 | 7.1429 | 300 | 51.9070 |
| 48.0679 | 9.5238 | 400 | 45.4772 |
| 48.0679 | 10.0 | 420 | 45.0632 |
Framework versions
- Transformers 5.14.1
- Pytorch 2.13.0
- Datasets 5.0.0
- Tokenizers 0.22.2