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bart-large-extraction-all-cnndm_2000-ep5
This model is a fine-tuned version of facebook/bart-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8572
- Hint Hit Num: 1.91
- Hint Precision: 0.3668
- Num: 5.066
- Gen Len: 20.0
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: 24
- eval_batch_size: 72
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Hint Hit Num | Hint Precision | Num | Gen Len |
|---|---|---|---|---|---|---|---|
| 2.2212 | 1.19 | 100 | 1.8652 | 1.86 | 0.3764 | 4.826 | 20.0 |
| 1.8571 | 2.38 | 200 | 1.8548 | 1.948 | 0.3838 | 4.936 | 20.0 |
| 1.6716 | 3.57 | 300 | 1.8468 | 1.894 | 0.3677 | 5.01 | 20.0 |
| 1.5749 | 4.76 | 400 | 1.8559 | 1.918 | 0.3695 | 5.066 | 20.0 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
