---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-policy
  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. -->

# t5-small-finetuned-policy

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4306
- Rouge1: 19.5603
- Rouge2: 13.5761
- Rougel: 17.9728
- Rougelsum: 18.3608
- Gen Len: 18.9529

## 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: 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.7469        | 1.0   | 1400 | 1.5070          | 18.8697 | 12.8892 | 17.2714 | 17.6566   | 18.9629 |
| 1.6541        | 2.0   | 2800 | 1.4598          | 19.388  | 13.4242 | 17.7886 | 18.1717   | 18.9579 |
| 1.6321        | 3.0   | 4200 | 1.4420          | 19.5153 | 13.5437 | 17.9251 | 18.3107   | 18.955  |
| 1.604         | 4.0   | 5600 | 1.4306          | 19.5603 | 13.5761 | 17.9728 | 18.3608   | 18.9529 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3