---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ADL_HW2_MT5
  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. -->

# ADL_HW2_MT5

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5085
- Rouge1: 13.6234
- Rouge2: 4.8107
- Rougel: 13.4828
- Rougelsum: 13.4694

## 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: 5.6e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 6.652         | 1.0   | 340  | 3.9727          | 10.0329 | 3.8308 | 9.954   | 9.9802    |
| 4.5708        | 2.0   | 680  | 3.7827          | 11.1164 | 4.1328 | 11.0046 | 11.0159   |
| 4.3069        | 3.0   | 1020 | 3.6472          | 12.405  | 4.4789 | 12.2766 | 12.308    |
| 4.1563        | 4.0   | 1360 | 3.5830          | 12.6726 | 4.5588 | 12.5504 | 12.5738   |
| 4.0715        | 5.0   | 1700 | 3.5509          | 12.6934 | 4.7831 | 12.5682 | 12.5705   |
| 4.0094        | 6.0   | 2040 | 3.5241          | 13.3107 | 4.8201 | 13.198  | 13.2002   |
| 3.9728        | 7.0   | 2380 | 3.5153          | 13.3888 | 4.7922 | 13.2839 | 13.2947   |
| 3.9505        | 8.0   | 2720 | 3.5085          | 13.6234 | 4.8107 | 13.4828 | 13.4694   |


### Framework versions

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