results_t5base
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2853
- Rouge1: 0.1769
- Rouge2: 0.0613
- Rougel: 0.1403
- Rougelsum: 0.1403
- 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.45 | 0.24 | 3000 | 2.4080 | 0.171 | 0.0573 | 0.1357 | 0.1357 | 19.0 |
| 2.5438 | 0.48 | 6000 | 2.3472 | 0.1756 | 0.0597 | 0.1389 | 0.1389 | 19.0 |
| 2.3614 | 0.72 | 9000 | 2.3018 | 0.1773 | 0.0615 | 0.1407 | 0.1407 | 19.0 |
| 2.3553 | 0.96 | 12000 | 2.2853 | 0.1769 | 0.0613 | 0.1403 | 0.1403 | 19.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1