transformers safetensors mt5 text2text-generation summarization generated_from_trainer base_model:google/mt5-small base_model:finetune:google/mt5-small license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
base_model: google/mt5-small
license: apache-2.0
metrics:
- rouge
tags:
- summarization
- generated_from_trainer
model-index:
- name: mt5-small-multinews
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mt5-small-multinews

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6760
- Rouge1: 12.0734
- Rouge2: 4.3967
- Rougel: 10.3798
- Rougelsum: 11.183

## 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: 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: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 4.0379        | 1.0   | 1875  | 2.8647          | 11.7472 | 3.9041 | 10.0104 | 10.9935   |
| 3.1006        | 2.0   | 3750  | 2.7921          | 11.9174 | 4.1568 | 10.1817 | 11.1292   |
| 2.9625        | 3.0   | 5625  | 2.7340          | 11.8991 | 4.2439 | 10.2099 | 11.0833   |
| 2.8808        | 4.0   | 7500  | 2.7087          | 12.2156 | 4.3539 | 10.4789 | 11.3807   |
| 2.8298        | 5.0   | 9375  | 2.6980          | 12.0815 | 4.391  | 10.3708 | 11.2082   |
| 2.7949        | 6.0   | 11250 | 2.6671          | 12.1477 | 4.4187 | 10.4061 | 11.2805   |
| 2.7709        | 7.0   | 13125 | 2.6780          | 12.216  | 4.4787 | 10.4787 | 11.3018   |
| 2.7609        | 8.0   | 15000 | 2.6760          | 12.0734 | 4.3967 | 10.3798 | 11.183    |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
