---
license: apache-2.0
base_model: t5-small
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: 2.6990
- Rouge1: 18.4909
- Rouge2: 10.2538
- Rougel: 15.7923
- Rougelsum: 17.7389
- Gen Len: 19.0

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 9    | 3.8135          | 17.7379 | 9.4809  | 15.1302 | 17.2319   | 19.0    |
| No log        | 2.0   | 18   | 3.1032          | 18.6526 | 10.4901 | 15.8718 | 17.8287   | 19.0    |
| No log        | 3.0   | 27   | 2.7841          | 18.4909 | 10.2538 | 15.7923 | 17.7389   | 19.0    |
| No log        | 4.0   | 36   | 2.6990          | 18.4909 | 10.2538 | 15.7923 | 17.7389   | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1