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article2keyword2.1b_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: 0.0456
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 |
|---|---|---|---|
| 0.2984 | 1.0 | 1353 | 0.0542 |
| 0.0565 | 2.0 | 2706 | 0.0494 |
| 0.0486 | 3.0 | 4059 | 0.0460 |
| 0.0443 | 4.0 | 5412 | 0.0456 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.11.0
- Datasets 2.3.2
- Tokenizers 0.12.1
