---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: mt5-base-lit-simplif
  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-base-lit-simplif

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1660
- Rouge1: 45.9067
- Rouge2: 33.3486
- Rougel: 43.6217
- Rougelsum: 43.7128
- Gen Len: 17.3389
- Bleu: 11.5761
- Corpus Bleu: 8.3337

## 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: 5e-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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len | Bleu    | Corpus Bleu |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:-----------:|
| No log        | 1.0   | 209  | 1.7570          | 22.6673 | 14.3228 | 21.6876 | 21.634    | 11.9379 | 4.355   | 5.0525      |
| No log        | 2.0   | 418  | 1.3636          | 40.2937 | 28.0627 | 38.6255 | 38.8148   | 16.9737 | 10.3859 | 8.7596      |
| 4.4247        | 3.0   | 627  | 1.2516          | 40.7671 | 28.2819 | 38.4458 | 38.598    | 18.0692 | 8.7679  | 8.1542      |
| 4.4247        | 4.0   | 836  | 1.1865          | 45.1478 | 32.7329 | 42.788  | 42.9494   | 17.4988 | 11.2435 | 8.2933      |
| 1.7397        | 5.0   | 1045 | 1.1660          | 45.9067 | 33.3486 | 43.6217 | 43.7128   | 17.3389 | 11.5761 | 8.3337      |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.1.1
- Datasets 2.14.4
- Tokenizers 0.13.3