t5-small-finetuned-cnn_daily_mail
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7514
- Rouge1: 0.2491
- Rouge2: 0.1149
- Rougel: 0.2049
- Rougelsum: 0.2331
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: 8
- eval_batch_size: 8
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 1.9261 | 1.0 | 1795 | 1.7650 | 0.2493 | 0.1157 | 0.2061 | 0.2340 |
| 1.8406 | 2.0 | 3590 | 1.7510 | 0.2471 | 0.1157 | 0.2047 | 0.2319 |
| 1.7986 | 3.0 | 5385 | 1.7492 | 0.2488 | 0.1144 | 0.2046 | 0.2327 |
| 1.7705 | 4.0 | 7180 | 1.7514 | 0.2491 | 0.1149 | 0.2049 | 0.2331 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3