t5-small-finetuned-eli5
This model is a fine-tuned version of t5-small on the eli5 dataset. It achieves the following results on the evaluation set:
- Loss: 3.7275
- Rouge1: 9.944
- Rouge2: 1.908
- Rougel: 8.0145
- Rougelsum: 9.2275
- Gen Len: 18.9988
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.9806 | 1.0 | 17040 | 3.7726 | 9.8475 | 1.872 | 7.9462 | 9.1258 | 18.9972 |
| 3.9458 | 2.0 | 34080 | 3.7369 | 9.9232 | 1.8981 | 7.9922 | 9.2061 | 18.9988 |
| 3.9355 | 3.0 | 51120 | 3.7275 | 9.944 | 1.908 | 8.0145 | 9.2275 | 18.9988 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1