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---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_mt5_small_test-finetuned-textdetox
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. -->
# my_mt5_small_test-finetuned-textdetox
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: 0.0040
- Rouge1: 7.6519
- Rouge2: 2.5188
- Rougel: 7.6693
- Rougelsum: 7.6998
- Gen Len: 16.1324
## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.6699 | 1.0 | 348 | 0.2325 | 7.206 | 2.2593 | 7.2116 | 7.2778 | 15.8029 |
| 0.198 | 2.0 | 696 | 0.0066 | 7.5046 | 2.4469 | 7.4966 | 7.5618 | 16.1353 |
| 0.1554 | 3.0 | 1044 | 0.0051 | 7.6519 | 2.5188 | 7.6693 | 7.6998 | 16.1309 |
| 0.1058 | 4.0 | 1392 | 0.0039 | 7.6519 | 2.5188 | 7.6693 | 7.6998 | 16.1317 |
| 0.1013 | 5.0 | 1740 | 0.0040 | 7.6519 | 2.5188 | 7.6693 | 7.6998 | 16.1324 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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