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---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-13713
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan-t5-base-13713
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5227
- Rouge1: 15.5402
- Rouge2: 9.6095
- Rougel: 14.0867
- Rougelsum: 14.8218
- Gen Len: 18.9316
## 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 1.9619 | 1.0 | 1908 | 1.6707 | 15.1982 | 9.312 | 13.8105 | 14.5284 | 18.9717 |
| 1.8021 | 2.0 | 3816 | 1.5866 | 15.4256 | 9.522 | 13.9826 | 14.7357 | 18.9251 |
| 1.7247 | 3.0 | 5724 | 1.5497 | 15.4466 | 9.5677 | 14.0187 | 14.7678 | 18.9304 |
| 1.6722 | 4.0 | 7632 | 1.5285 | 15.6321 | 9.7206 | 14.2157 | 14.9454 | 18.9322 |
| 1.6571 | 5.0 | 9540 | 1.5227 | 15.5402 | 9.6095 | 14.0867 | 14.8218 | 18.9316 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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