XLRS_SmallDataset
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: 0.3587
- Wer: 0.3136
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: 8
- 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: 1000
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.6082 | 3.07 | 500 | 3.0595 | 1.0 |
| 2.3947 | 6.13 | 1000 | 0.7424 | 0.7619 |
| 0.6691 | 9.2 | 1500 | 0.4007 | 0.4376 |
| 0.3661 | 12.27 | 2000 | 0.3424 | 0.3668 |
| 0.2503 | 15.34 | 2500 | 0.3519 | 0.3426 |
| 0.2066 | 18.4 | 3000 | 0.3522 | 0.3247 |
| 0.167 | 21.47 | 3500 | 0.3465 | 0.3235 |
| 0.1418 | 24.54 | 4000 | 0.3687 | 0.3143 |
| 0.1409 | 27.61 | 4500 | 0.3587 | 0.3136 |
Framework versions
- Transformers 4.17.0
- Pytorch 2.5.1+cu121
- Datasets 1.18.3
- Tokenizers 0.20.3