---
license: apache-2.0
base_model: moussaKam/barthez-orangesum-abstract
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: barthez-orange-ft
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# barthez-orange-ft

This model is a fine-tuned version of [moussaKam/barthez-orangesum-abstract](https://huggingface.co/moussaKam/barthez-orangesum-abstract) on the REFOMED dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1792
- Rouge1: 0.6715
- Rouge2: 0.6537
- Rougel: 0.6717
- Rougelsum: 0.6717
- Gen Len: 20.0

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- 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   | 31   | 0.2054          | 0.6716 | 0.6537 | 0.6717 | 0.6717    | 20.0    |
| No log        | 1.99  | 62   | 0.1884          | 0.6715 | 0.6537 | 0.6717 | 0.6717    | 20.0    |
| No log        | 2.99  | 93   | 0.1824          | 0.6715 | 0.6537 | 0.6717 | 0.6717    | 20.0    |
| No log        | 3.98  | 124  | 0.1798          | 0.6715 | 0.6537 | 0.6717 | 0.6717    | 20.0    |
| No log        | 4.98  | 155  | 0.1792          | 0.6715 | 0.6537 | 0.6717 | 0.6717    | 20.0    |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.13.3