t5-small-finetuned-eli5-extra-finetune
This model is a fine-tuned version of Sandipan1994/t5-small-finetuned-eli5 on the eli5 dataset. It achieves the following results on the evaluation set:
- Loss: 3.6711
- Rouge1: 9.8647
- Rouge2: 1.9166
- Rougel: 7.9523
- Rougelsum: 9.1657
- Gen Len: 18.9981
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 |
|---|---|---|---|---|---|---|---|---|
| 3.8865 | 1.0 | 17040 | 3.6929 | 9.9257 | 1.9075 | 8.026 | 9.2238 | 19.0 |
| 3.8777 | 2.0 | 34080 | 3.6764 | 9.8568 | 1.9027 | 7.9443 | 9.1535 | 18.9981 |
| 3.8667 | 3.0 | 51120 | 3.6711 | 9.8647 | 1.9166 | 7.9523 | 9.1657 | 18.9981 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1