transformers pytorch mbart text2text-generation summarization generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
metrics:
- rouge
tags:
- summarization
- generated_from_trainer
model-index:
- name: article2KW_test1_barthez-orangesum-title_finetuned_for_summurization
  results: []
---

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# article2KW_test1_barthez-orangesum-title_finetuned_for_summurization

This model is a fine-tuned version of [moussaKam/barthez-orangesum-title](https://huggingface.co/moussaKam/barthez-orangesum-title) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2895
- Rouge1: 0.2048
- Rouge2: 0.0600
- Rougel: 0.2053
- Rougelsum: 0.2057

## 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: 5.6e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
| 0.4512        | 1.0   | 3368  | 0.3433          | 0.2030 | 0.0642 | 0.2037 | 0.2033    |
| 0.3162        | 2.0   | 6736  | 0.3051          | 0.2109 | 0.0681 | 0.2110 | 0.2111    |
| 0.264         | 3.0   | 10104 | 0.2895          | 0.2048 | 0.0600 | 0.2053 | 0.2057    |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.3.2
- Tokenizers 0.11.0
