led-base-8192-biolaysum-elife
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: 2.3267
- Rouge1: 0.4438
- Rouge2: 0.1123
- Rougel: 0.2010
- Rougelsum: 0.2010
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.6233 | 0.92 | 500 | 2.3315 | 0.4395 | 0.1324 | 0.1976 | 0.1976 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.12.0
- Datasets 2.9.0
- Tokenizers 0.12.1