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-14feb-2
  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-small-finetuned-14feb-2

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: 2.3707
- Rouge1: 19.73
- Rouge2: 5.7
- Rougel: 19.46

## 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: 0.000275
- 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: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 4.0753        | 1.0   | 388  | 2.5514          | 16.43  | 4.92   | 16.27  |
| 2.9891        | 2.0   | 776  | 2.4500          | 18.18  | 5.25   | 17.93  |
| 2.7596        | 3.0   | 1164 | 2.4263          | 19.56  | 5.46   | 19.08  |
| 2.6168        | 4.0   | 1552 | 2.3966          | 18.31  | 5.62   | 17.97  |
| 2.5137        | 5.0   | 1940 | 2.3596          | 19.99  | 6.15   | 19.7   |
| 2.4365        | 6.0   | 2328 | 2.3663          | 19.92  | 6.09   | 19.62  |
| 2.3821        | 7.0   | 2716 | 2.3707          | 19.73  | 5.7    | 19.46  |


### Framework versions

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