metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: led-base-16384-biolaysum-both-wiki_simple
results: []
led-base-16384-biolaysum-both-wiki_simple
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: 2.1578
- Rouge1: 0.4554
- Rouge2: 0.1560
- Rougel: 0.2432
- Rougelsum: 0.2431
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: 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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.2748 | 0.69 | 5000 | 2.2217 | 0.4501 | 0.1518 | 0.2416 | 0.2416 |
| 2.0405 | 1.37 | 10000 | 2.1578 | 0.4554 | 0.1560 | 0.2432 | 0.2431 |
| 1.9237 | 2.06 | 15000 | 2.1239 | 0.4551 | 0.1532 | 0.2402 | 0.2402 |
| 1.904 | 2.75 | 20000 | 2.1116 | 0.4571 | 0.1557 | 0.2423 | 0.2422 |
| 1.781 | 3.43 | 25000 | 2.1004 | 0.4543 | 0.1526 | 0.2406 | 0.2406 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.12.1