transformers pytorch tensorboard mt5 text2text-generation summarization generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
metrics:
- rouge
tags:
- summarization
- generated_from_trainer
model-index:
- name: mt5-small-finetuned-11feb-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mt5-small-finetuned-11feb-1

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: 2.5110
- Rouge1: 17.54
- Rouge2: 5.46
- Rougel: 17.42

## 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: 0.0001
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 5.4156        | 1.0   | 311  | 2.6628          | 15.35  | 5.18   | 15.25  |
| 3.366         | 2.0   | 622  | 2.5576          | 16.92  | 5.18   | 16.8   |
| 3.1718        | 3.0   | 933  | 2.5174          | 16.96  | 5.48   | 16.83  |
| 3.0648        | 4.0   | 1244 | 2.5021          | 17.32  | 5.34   | 17.12  |
| 3.0095        | 5.0   | 1555 | 2.5110          | 17.54  | 5.46   | 17.42  |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
