metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- rouge
base_model: google/flan-t5-base
model-index:
- name: results
results: []
results
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1549
- Rouge1: 0.0992
- Rouge2: 0.0185
- Rougel: 0.0769
- Rougelsum: 0.0898
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.4344 | 1.0 | 1498 | 3.2018 | 0.1012 | 0.0173 | 0.0788 | 0.0920 |
| 3.4054 | 2.0 | 2996 | 3.1860 | 0.0966 | 0.0176 | 0.0749 | 0.0876 |
| 3.3838 | 3.0 | 4494 | 3.1767 | 0.0984 | 0.0180 | 0.0766 | 0.0892 |
| 3.368 | 4.0 | 5992 | 3.1712 | 0.1013 | 0.0191 | 0.0785 | 0.0915 |
| 3.3534 | 5.0 | 7490 | 3.1647 | 0.1007 | 0.0188 | 0.0781 | 0.0910 |
| 3.3573 | 6.0 | 8988 | 3.1613 | 0.0992 | 0.0189 | 0.0770 | 0.0897 |
| 3.3392 | 7.0 | 10486 | 3.1581 | 0.0999 | 0.0186 | 0.0778 | 0.0904 |
| 3.3327 | 8.0 | 11984 | 3.1568 | 0.1006 | 0.0187 | 0.0778 | 0.0909 |
| 3.3275 | 9.0 | 13482 | 3.1554 | 0.0983 | 0.0181 | 0.0763 | 0.0890 |
| 3.3267 | 10.0 | 14980 | 3.1549 | 0.0992 | 0.0185 | 0.0769 | 0.0898 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2