fine_tuned_t5_small_model
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9759
- Rouge1: 0.1681
- Rouge2: 0.0531
- Rougel: 0.1379
- Rougelsum: 0.1378
- Gen Len: 19.0
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: 16
- eval_batch_size: 16
- 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 144 | 3.0688 | 0.1625 | 0.0515 | 0.1333 | 0.1333 | 18.9476 |
| No log | 2.0 | 288 | 3.0013 | 0.1707 | 0.0554 | 0.1408 | 0.1411 | 18.9476 |
| No log | 3.0 | 432 | 2.9747 | 0.1683 | 0.0532 | 0.1378 | 0.1378 | 19.0 |
| 3.3619 | 4.0 | 576 | 2.9759 | 0.1681 | 0.0531 | 0.1379 | 0.1378 | 19.0 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3