---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-code_de_travail
  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. -->

# flan-t5-small-code_de_travail

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8644
- Rouge1: 25.4859
- Rouge2: 9.5703
- Rougel: 20.373
- Rougelsum: 22.7081
- Gen Len: 19.0

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 100  | 1.9280          | 25.07   | 8.9144 | 19.6643 | 22.1851   | 19.0    |
| No log        | 2.0   | 200  | 1.8979          | 25.3572 | 9.3844 | 20.223  | 22.645    | 19.0    |
| No log        | 3.0   | 300  | 1.8786          | 25.3392 | 9.4074 | 20.2737 | 22.6969   | 19.0    |
| No log        | 4.0   | 400  | 1.8671          | 25.2214 | 9.3115 | 20.2123 | 22.5665   | 19.0    |
| 2.1021        | 5.0   | 500  | 1.8644          | 25.4859 | 9.5703 | 20.373  | 22.7081   | 19.0    |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2