---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mT5-TextSimp-LT-BatchSize12-lr5e-5
  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-TextSimp-LT-BatchSize12-lr5e-5

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: nan
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Gen Len: 0.0

## 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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:-------:|
| 28.0514       | 1.43  | 200  | 21.4337         | 0.0028 | 0.0    | 0.0028 | 512.0   |
| 0.0           | 2.86  | 400  | nan             | 0.0    | 0.0    | 0.0    | 0.0     |
| 0.0           | 4.29  | 600  | nan             | 0.0    | 0.0    | 0.0    | 0.0     |
| 0.0           | 5.71  | 800  | nan             | 0.0    | 0.0    | 0.0    | 0.0     |
| 0.0           | 7.14  | 1000 | nan             | 0.0    | 0.0    | 0.0    | 0.0     |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.1
- Datasets 2.16.1
- Tokenizers 0.15.0