---
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: T5_Fine_Tuned_on_Arxiv_Dataset
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# T5_Fine_Tuned_on_Arxiv_Dataset

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: 2.7599
- Rouge1: 0.1635
- Rouge2: 0.0548
- Rougel: 0.1311
- Rougelsum: 0.1311
- Generated Length: 18.9852

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:|
| No log        | 1.0   | 305  | 2.8130          | 0.1569 | 0.05   | 0.1256 | 0.1255    | 18.9852          |
| 3.0803        | 2.0   | 610  | 2.7704          | 0.1634 | 0.0546 | 0.1312 | 0.1311    | 18.9852          |
| 3.0803        | 3.0   | 915  | 2.7599          | 0.1635 | 0.0548 | 0.1311 | 0.1311    | 18.9852          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1