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

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: 1.3234
- Rouge1: 0.3467
- Rouge2: 0.2667
- Rougel: 0.3179
- Rougelsum: 0.3263

## 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   | 45   | 1.6712          | 0.3464 | 0.2671 | 0.3219 | 0.3273    |
| No log        | 2.0   | 90   | 1.4640          | 0.3475 | 0.2752 | 0.3257 | 0.3314    |
| No log        | 3.0   | 135  | 1.3674          | 0.3465 | 0.2689 | 0.3220 | 0.3284    |
| No log        | 4.0   | 180  | 1.3237          | 0.3463 | 0.2678 | 0.3191 | 0.3268    |
| No log        | 5.0   | 225  | 1.3234          | 0.3467 | 0.2667 | 0.3179 | 0.3263    |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2