---
library_name: transformers
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5920
- Rouge1: 14.7596
- Rouge2: 4.3807
- Rougel: 12.2006
- Rougelsum: 12.2

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 2.5565        | 0.8163 | 1000 | 2.5957          | 14.9406 | 4.4429 | 12.4353 | 12.433    |
| 2.1876        | 1.6327 | 2000 | 2.5816          | 14.8245 | 4.3741 | 12.2496 | 12.2465   |
| 1.9943        | 2.4490 | 3000 | 2.5886          | 14.8735 | 4.3477 | 12.2451 | 12.2445   |
| 1.8837        | 3.2653 | 4000 | 2.5920          | 14.7596 | 4.3807 | 12.2006 | 12.2      |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 2.16.0
- Tokenizers 0.20.0