---
license: apache-2.0
tags:
- mlm
- generated_from_trainer
model-index:
- name: article2KW_test2.0.1c_lowercase_barthez-orangesum-title_finetuned_for_mlm_aaaaaaaaaaaaa
  results: []
---

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# article2KW_test2.0.1c_lowercase_barthez-orangesum-title_finetuned_for_mlm_aaaaaaaaaaaaa

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: 0.0458

## 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: 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.488         | 1.0   | 685  | 0.0568          |
| 0.0613        | 2.0   | 1370 | 0.0500          |
| 0.0539        | 3.0   | 2055 | 0.0470          |
| 0.0505        | 4.0   | 2740 | 0.0458          |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.11.0
- Datasets 2.3.2
- Tokenizers 0.12.1