transformers tensorboard 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
library_name: transformers
license: apache-2.0
metrics:
- rouge
tags:
- summarization
- generated_from_trainer
model-index:
- name: mt5-smallmt5-finetuned-on-en-yor-BBC-news
  results: []
---

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# mt5-smallmt5-finetuned-on-en-yor-BBC-news

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: 2.9640
- Rouge1: 31.9414
- Rouge2: 10.6476
- Rougel: 27.9541
- Rougelsum: 27.974

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 3.547         | 1.0   | 1588  | 3.2871          | 30.6764 | 9.756   | 26.925  | 26.9536   |
| 3.6705        | 2.0   | 3176  | 3.1250          | 30.387  | 9.6758  | 26.7739 | 26.8351   |
| 3.4985        | 3.0   | 4764  | 3.0648          | 31.2651 | 10.2554 | 27.4377 | 27.4828   |
| 3.3861        | 4.0   | 6352  | 3.0187          | 31.0368 | 10.0801 | 27.1596 | 27.1924   |
| 3.3116        | 5.0   | 7940  | 3.0051          | 31.9967 | 10.6125 | 28.0438 | 28.08     |
| 3.2603        | 6.0   | 9528  | 2.9801          | 31.7684 | 10.6465 | 27.8597 | 27.8956   |
| 3.2242        | 7.0   | 11116 | 2.9681          | 31.6692 | 10.4338 | 27.7238 | 27.7438   |
| 3.2007        | 8.0   | 12704 | 2.9640          | 31.9414 | 10.6476 | 27.9541 | 27.974    |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
