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bart-base-new-finetuned-arxiv
This model is a fine-tuned version of facebook/bart-base on the arxiv_summarization_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 2.9456
- Rouge1: 12.5891
- Rouge2: 4.7185
- Rougel: 10.1631
- Rougelsum: 11.6233
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: 5.6e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.433 | 1.0 | 403 | 3.0405 | 12.9591 | 4.8638 | 10.377 | 11.94 |
| 3.1155 | 2.0 | 806 | 2.9598 | 12.5926 | 4.7648 | 10.1432 | 11.6224 |
| 2.9888 | 3.0 | 1209 | 2.9456 | 12.5891 | 4.7185 | 10.1631 | 11.6233 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
