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---
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license: apache-2.0
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tags:
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- mlm
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- generated_from_trainer
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model-index:
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- name: article2keyword2.1b_barthez-orangesum-title_finetuned16_for_mlm
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# article2keyword2.1b_barthez-orangesum-title_finetuned16_for_mlm
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This model is a fine-tuned version of [moussaKam/barthez-orangesum-title](https://huggingface.co/moussaKam/barthez-orangesum-title) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0525
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 16
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.2976 | 1.0 | 1353 | 0.0543 |
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| 0.0566 | 2.0 | 2706 | 0.0509 |
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| 0.0487 | 3.0 | 4059 | 0.0458 |
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| 0.0433 | 4.0 | 5412 | 0.0456 |
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| 0.04 | 5.0 | 6765 | 0.0460 |
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| 0.0373 | 6.0 | 8118 | 0.0454 |
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| 0.0355 | 7.0 | 9471 | 0.0465 |
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| 0.0328 | 8.0 | 10824 | 0.0474 |
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| 0.0317 | 9.0 | 12177 | 0.0470 |
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| 0.03 | 10.0 | 13530 | 0.0488 |
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| 0.0285 | 11.0 | 14883 | 0.0489 |
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| 0.0272 | 12.0 | 16236 | 0.0500 |
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| 0.0262 | 13.0 | 17589 | 0.0510 |
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| 0.0258 | 14.0 | 18942 | 0.0511 |
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| 0.0245 | 15.0 | 20295 | 0.0522 |
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| 0.0239 | 16.0 | 21648 | 0.0525 |
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### Framework versions
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- Transformers 4.21.1
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- Pytorch 1.11.0
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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