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: BARTkrame-abstract-mT5
  results: []
---

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# BARTkrame-abstract-mT5

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: 2.2557
- Rouge1: 0.2223
- Rouge2: 0.0735
- Rougel: 0.1826
- Rougelsum: 0.1849

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 4.9563        | 1.0   | 1250 | 2.3674          | 0.2206 | 0.0755 | 0.1853 | 0.1869    |
| 3.1856        | 2.0   | 2500 | 2.2988          | 0.2296 | 0.0757 | 0.1888 | 0.1910    |
| 3.0083        | 3.0   | 3750 | 2.2668          | 0.2201 | 0.0728 | 0.1816 | 0.1832    |
| 2.9296        | 4.0   | 5000 | 2.2557          | 0.2223 | 0.0735 | 0.1826 | 0.1849    |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
