metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: QA-flan-t5-small
results: []
QA-flan-t5-small
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4875
- Rouge1: 0.6697
- Rouge2: 0.4916
- Rougel: 0.6692
- Rougelsum: 0.6694
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: 5e-05
- 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
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.7836 | 1.0 | 30468 | 0.5139 | 0.6377 | 0.4690 | 0.6373 | 0.6371 |
| 0.6817 | 2.0 | 60936 | 0.4990 | 0.6428 | 0.4674 | 0.6421 | 0.6422 |
| 0.6913 | 3.0 | 91404 | 0.4999 | 0.6504 | 0.4706 | 0.6496 | 0.6496 |
| 0.5839 | 4.0 | 121872 | 0.4808 | 0.6680 | 0.4918 | 0.6675 | 0.6676 |
| 0.58 | 5.0 | 152340 | 0.4871 | 0.6702 | 0.4919 | 0.6697 | 0.6698 |
| 0.5921 | 6.0 | 182808 | 0.4875 | 0.6697 | 0.4916 | 0.6692 | 0.6694 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2