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# mt5-small-lit-simplif

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: 5.4423
- Rouge1: 14.0561
- Rouge2: 7.014
- Rougel: 13.3155
- Rougelsum: 13.2979
- Gen Len: 13.0
- Bleu: 1.1812
- Corpus Bleu: 2.4059

## 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len | Bleu   | Corpus Bleu |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|:------:|:-----------:|
| No log        | 1.0   | 209  | 5.4423          | 14.0561 | 7.014  | 13.3155 | 13.2979   | 13.0    | 1.1812 | 2.4059      |


### Framework versions

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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge", "bleu"], "base_model": "google/mt5-small", "model-index": [{"name": "mt5-small-lit-simplif", "results": []}]}
transformers pytorch mt5 text2text-generation generated_from_trainer base_model:google/mt5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us