---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results
  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. -->

# results

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: 1.1086
- Rouge1: 0.4487
- Rouge2: 0.2809
- Rougel: 0.4097
- Rougelsum: 0.4110

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 67   | 1.4667          | 0.3682 | 0.1743 | 0.3295 | 0.3298    |
| No log        | 2.0   | 134  | 1.2361          | 0.4035 | 0.2159 | 0.3666 | 0.3647    |
| No log        | 3.0   | 201  | 1.1369          | 0.4482 | 0.2765 | 0.3971 | 0.3966    |
| No log        | 4.0   | 268  | 1.0996          | 0.4526 | 0.2926 | 0.4106 | 0.4126    |
| No log        | 5.0   | 335  | 1.1086          | 0.4487 | 0.2809 | 0.4097 | 0.4110    |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2