---
license: apache-2.0
tags:
- mlm
- generated_from_trainer
model-index:
- name: article2keyword2.1b_barthez-orangesum-title_finetuned16_for_mlm
  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. -->

# article2keyword2.1b_barthez-orangesum-title_finetuned16_for_mlm

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: 0.0525

## 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: 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: 16
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.2976        | 1.0   | 1353  | 0.0543          |
| 0.0566        | 2.0   | 2706  | 0.0509          |
| 0.0487        | 3.0   | 4059  | 0.0458          |
| 0.0433        | 4.0   | 5412  | 0.0456          |
| 0.04          | 5.0   | 6765  | 0.0460          |
| 0.0373        | 6.0   | 8118  | 0.0454          |
| 0.0355        | 7.0   | 9471  | 0.0465          |
| 0.0328        | 8.0   | 10824 | 0.0474          |
| 0.0317        | 9.0   | 12177 | 0.0470          |
| 0.03          | 10.0  | 13530 | 0.0488          |
| 0.0285        | 11.0  | 14883 | 0.0489          |
| 0.0272        | 12.0  | 16236 | 0.0500          |
| 0.0262        | 13.0  | 17589 | 0.0510          |
| 0.0258        | 14.0  | 18942 | 0.0511          |
| 0.0245        | 15.0  | 20295 | 0.0522          |
| 0.0239        | 16.0  | 21648 | 0.0525          |


### Framework versions

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