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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-NL2ModelioMQ-FR
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. -->
# t5-small-finetuned-NL2ModelioMQ-FR
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rouge2 Precision: 0.9788
- Rouge2 Recall: 0.6056
- Rouge2 Fmeasure: 0.7295
## 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: 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: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.009 | 1.0 | 4449 | 0.0001 | 0.9785 | 0.6053 | 0.7292 |
| 0.0017 | 2.0 | 8898 | 0.0000 | 0.9788 | 0.6056 | 0.7295 |
| 0.001 | 3.0 | 13347 | 0.0000 | 0.9788 | 0.6056 | 0.7295 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Tokenizers 0.13.2
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