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

# mt5-finetuned-summarize

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2613
- Rouge1: 2.1127
- Rouge2: 0.0
- Rougel: 2.1127
- Rougelsum: 2.1127

## 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 OptimizerNames.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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 5.8246        | 1.0   | 159  | 1.4914          | 2.1127 | 0.0    | 2.1127 | 2.1127    |
| 1.4676        | 2.0   | 318  | 0.4395          | 1.6432 | 0.0    | 1.8779 | 1.8779    |
| 0.6332        | 3.0   | 477  | 0.3840          | 1.6432 | 0.0    | 1.8779 | 1.8779    |
| 0.4717        | 4.0   | 636  | 0.3274          | 1.6432 | 0.0    | 1.8779 | 1.8779    |
| 0.3878        | 5.0   | 795  | 0.3058          | 2.1127 | 0.0    | 2.1127 | 2.1127    |
| 0.3826        | 6.0   | 954  | 0.2466          | 2.1127 | 0.0    | 2.1127 | 2.1127    |
| 0.3243        | 7.0   | 1113 | 0.2535          | 2.1127 | 0.0    | 2.1127 | 2.1127    |
| 0.2976        | 8.0   | 1272 | 0.2613          | 2.1127 | 0.0    | 2.1127 | 2.1127    |


### Framework versions

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