flan-t5-base-gec
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2594
- Sacrebleu: 83.0881
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|---|---|---|---|---|
| 0.3545 | 0.2591 | 1000 | 0.2928 | 81.3373 |
| 0.3264 | 0.5181 | 2000 | 0.2814 | 81.8621 |
| 0.308 | 0.7772 | 3000 | 0.2722 | 82.3528 |
| 0.2896 | 1.0363 | 4000 | 0.2677 | 82.6670 |
| 0.3001 | 1.2953 | 5000 | 0.2615 | 82.7959 |
| 0.2991 | 1.5544 | 6000 | 0.2612 | 82.9720 |
| 0.2937 | 1.8135 | 7000 | 0.2612 | 82.8736 |
| 0.279 | 2.0725 | 8000 | 0.2595 | 83.0339 |
| 0.2702 | 2.3316 | 9000 | 0.2595 | 83.1004 |
| 0.2685 | 2.5907 | 10000 | 0.2606 | 83.0513 |
| 0.2706 | 2.8497 | 11000 | 0.2594 | 83.0881 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0