t5-small-task2
This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5527
- Rouge L: 27.6493
- Bleu-4: 9.2240
- Bertscore F1: 86.3135
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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge L | Bleu-4 | Bertscore F1 |
|---|---|---|---|---|---|---|
| 0.4432 | 1.0 | 492 | 0.5810 | 26.8512 | 8.4811 | 85.8446 |
| 0.5458 | 2.0 | 984 | 0.5578 | 27.9861 | 9.1750 | 86.0499 |
| 0.5367 | 3.0 | 1476 | 0.5536 | 26.9743 | 8.6872 | 86.0634 |
| 0.5053 | 4.0 | 1968 | 0.5521 | 27.1588 | 8.8376 | 86.0979 |
| 0.5277 | 5.0 | 2460 | 0.5512 | 27.8130 | 9.4552 | 86.2264 |
| 0.4125 | 6.0 | 2952 | 0.5517 | 27.9565 | 9.0676 | 86.4354 |
| 0.4427 | 7.0 | 3444 | 0.5507 | 27.9484 | 9.4518 | 86.4661 |
| 0.4019 | 8.0 | 3936 | 0.5511 | 27.2611 | 9.2863 | 86.0906 |
| 0.4356 | 9.0 | 4428 | 0.5503 | 27.1845 | 9.3854 | 86.3148 |
| 0.3828 | 10.0 | 4920 | 0.5504 | 27.5384 | 9.5138 | 86.1584 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0