---
license: apache-2.0
base_model: t5-small
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 [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5871
- Rouge1: 0.6108
- Rouge2: 0.3983
- Rougel: 0.6004
- Rougelsum: 0.6006

## 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: 2e-05
- train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 1.927         | 1.0   | 1000 | 1.7088          | 0.5878 | 0.3745 | 0.5777 | 0.5777    |
| 1.8262        | 2.0   | 2000 | 1.6397          | 0.5989 | 0.3873 | 0.5883 | 0.5883    |
| 1.7704        | 3.0   | 3000 | 1.6088          | 0.6069 | 0.3950 | 0.5965 | 0.5967    |
| 1.7388        | 4.0   | 4000 | 1.5920          | 0.6090 | 0.3965 | 0.5984 | 0.5987    |
| 1.7347        | 5.0   | 5000 | 1.5871          | 0.6108 | 0.3983 | 0.6004 | 0.6006    |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1