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article2keyword2.1b_barthez-orangesum-title_finetuned16_for_mlm
bthomas/article2keyword2.1b_barthez-orangesum-title_finetuned16_for_mlm
article2keyword2.1b_barthez-orangesum-title_finetuned16_for_mlm is a machine learning model from bthomas. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mbart
- Access
- Public
- Created
- Oct 20, 2022
- Updated
- Oct 20, 2022
- SHA
- 67b1b57a
Model card
From the Hugging Face model README
<!-- 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 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
- Library
- transformers
- Type
- mbart
- License
- apache-2.0
- Created
- Oct 20, 2022
- Updated
- Oct 20, 2022