flan-t5-small-gec
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3409
- Sacrebleu: 80.4351
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 |
|---|---|---|---|---|
| 0.4499 | 0.2591 | 1000 | 0.3853 | 79.3662 |
| 0.4321 | 0.5181 | 2000 | 0.3655 | 79.6704 |
| 0.4061 | 0.7772 | 3000 | 0.3589 | 80.0453 |
| 0.4015 | 1.0363 | 4000 | 0.3518 | 80.1396 |
| 0.4114 | 1.2953 | 5000 | 0.3480 | 80.1401 |
| 0.4088 | 1.5544 | 6000 | 0.3445 | 80.2909 |
| 0.3998 | 1.8135 | 7000 | 0.3441 | 80.2896 |
| 0.3851 | 2.0725 | 8000 | 0.3429 | 80.3305 |
| 0.379 | 2.3316 | 9000 | 0.3402 | 80.3939 |
| 0.3756 | 2.5907 | 10000 | 0.3411 | 80.4061 |
| 0.3807 | 2.8497 | 11000 | 0.3409 | 80.4351 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0