FT-S5-LM
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
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: 3e-05
- 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_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|
| 1.9414 | 0.99 | 7100 | 0.8335 | 0.3649 |
| 0.408 | 1.97 | 14200 | 0.7352 | 0.3037 |
| 0.3353 | 2.96 | 21300 | 0.7797 | 0.2922 |
| 0.2987 | 3.95 | 28400 | 0.7119 | 0.2804 |
| 0.2745 | 4.94 | 35500 | 0.7512 | 0.2738 |
| 0.2565 | 5.92 | 42600 | 0.7550 | 0.2705 |
| 0.2431 | 6.91 | 49700 | 0.7319 | 0.2662 |
| 0.2315 | 7.9 | 56800 | 0.7422 | 0.2650 |
Framework versions
- Transformers 4.17.0
- Pytorch 2.5.1+cu124
- Datasets 3.6.0
- Tokenizers 0.22.2
