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led-base-16384-biolaysum-both-baseline
This model is a fine-tuned version of allenai/led-base-16384 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1666
- Rouge1: 0.4524
- Rouge2: 0.1553
- Rougel: 0.2434
- Rougelsum: 0.2434
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.0914 | 1.37 | 5000 | 2.1666 | 0.4524 | 0.1553 | 0.2434 | 0.2434 |
| 1.9787 | 2.75 | 10000 | 2.1174 | 0.4561 | 0.1540 | 0.2412 | 0.2412 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.12.1
