---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-no-email-summary
  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-no-email-summary

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: 1.2815
- Rouge1: 44.0759
- Rouge2: 29.0229
- Rougel: 41.8945
- Rougelsum: 41.801

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 10.2054       | 1.0   | 417  | 2.3095          | 19.097  | 8.5001  | 17.7548 | 17.7829   |
| 3.1624        | 2.0   | 834  | 1.6965          | 30.9222 | 16.6468 | 28.3312 | 28.3229   |
| 2.4529        | 3.0   | 1251 | 1.5142          | 34.9498 | 20.327  | 32.1027 | 32.0904   |
| 2.19          | 4.0   | 1668 | 1.4286          | 40.0996 | 25.4238 | 38.1114 | 38.0192   |
| 2.0096        | 5.0   | 2085 | 1.3853          | 42.2543 | 27.8126 | 40.5722 | 40.4353   |
| 1.8849        | 6.0   | 2502 | 1.3377          | 42.9442 | 28.4625 | 41.1796 | 41.132    |
| 1.8099        | 7.0   | 2919 | 1.3008          | 43.2106 | 28.327  | 41.3598 | 41.3596   |
| 1.7495        | 8.0   | 3336 | 1.2961          | 43.1156 | 27.8989 | 40.9504 | 40.8745   |
| 1.7354        | 9.0   | 3753 | 1.2817          | 44.3051 | 29.1231 | 42.13   | 42.0315   |
| 1.6907        | 10.0  | 4170 | 1.2815          | 44.0759 | 29.0229 | 41.8945 | 41.801    |


### Framework versions

- Transformers 4.28.1
- Pytorch 1.13.1
- Datasets 2.11.0
- Tokenizers 0.13.0.dev0