pytorch tensorboard mt5 text2text-generation transformers summarization generated_from_trainer license:apache-2.0 model-index autotrain_compatible
---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-test-ged-RAW_data_prep_2021_12_26___t1_7.csv_max_target_length_10
  results: []
---

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# mt5-small-test-ged-RAW_data_prep_2021_12_26___t1_7.csv_max_target_length_10

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: 2.0338
- Rouge1: 28.7359
- Rouge2: 15.6289
- Rougel: 28.6407
- Rougelsum: 28.7016

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 6.0554        | 1.0   | 1935  | 2.7346          | 23.7306 | 13.3598 | 23.7172 | 23.7447   |
| 2.9111        | 2.0   | 3870  | 2.3916          | 26.5211 | 14.5628 | 26.4827 | 26.5716   |
| 2.464         | 3.0   | 5805  | 2.2382          | 27.4404 | 15.1211 | 27.3331 | 27.401    |
| 2.2328        | 4.0   | 7740  | 2.1557          | 28.3377 | 14.7406 | 28.2386 | 28.249    |
| 2.0845        | 5.0   | 9675  | 2.1324          | 29.1476 | 15.7579 | 29.0614 | 29.1701   |
| 1.9825        | 6.0   | 11610 | 2.0668          | 28.4677 | 15.3332 | 28.4128 | 28.4093   |
| 1.9233        | 7.0   | 13545 | 2.0441          | 28.6832 | 15.5251 | 28.5723 | 28.6479   |
| 1.8842        | 8.0   | 15480 | 2.0338          | 28.7359 | 15.6289 | 28.6407 | 28.7016   |


### Framework versions

- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
