results_t5small_third25
This model is a fine-tuned version of AbdullahKnn/results_t5small_second25 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4252
- Rouge1: 0.1823
- Rouge2: 0.0617
- Rougel: 0.1434
- Rougelsum: 0.1434
- Gen Len: 20.0
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.5226 | 0.6398 | 1000 | 2.4756 | 0.1785 | 0.0602 | 0.1404 | 0.1405 | 20.0 |
| 2.5037 | 1.2796 | 2000 | 2.4412 | 0.1814 | 0.0619 | 0.1427 | 0.1426 | 20.0 |
| 2.4355 | 1.9194 | 3000 | 2.4252 | 0.1823 | 0.0617 | 0.1434 | 0.1434 | 20.0 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0