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article2keyword2.2_barthez-orangesum-title_finetuned_for_mlm
bthomas/article2keyword2.2_barthez-orangesum-title_finetuned_for_mlm
article2keyword2.2_barthez-orangesum-title_finetuned_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 19, 2022
- Updated
- Oct 19, 2022
- SHA
- 52ef4737
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. -->
article2keyword2.2_barthez-orangesum-title_finetuned_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: 0.0452
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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3187 | 1.0 | 1235 | 0.0545 |
| 0.0544 | 2.0 | 2470 | 0.0491 |
| 0.0461 | 3.0 | 3705 | 0.0463 |
| 0.042 | 4.0 | 4940 | 0.0452 |
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 19, 2022
- Updated
- Oct 19, 2022