metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: led-base-16384-biolaysum-both-all
results: []
led-base-16384-biolaysum-both-all
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: 2.0862
- Rouge1: 0.4588
- Rouge2: 0.1586
- Rougel: 0.2453
- Rougelsum: 0.2454
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 |
|---|---|---|---|---|---|---|---|
| 2.2475 | 0.69 | 5000 | 2.1935 | 0.4496 | 0.1550 | 0.2442 | 0.2442 |
| 2.015 | 1.37 | 10000 | 2.1321 | 0.4542 | 0.1570 | 0.2454 | 0.2454 |
| 1.8987 | 2.06 | 15000 | 2.0989 | 0.4563 | 0.1571 | 0.2444 | 0.2446 |
| 1.8767 | 2.75 | 20000 | 2.0862 | 0.4588 | 0.1586 | 0.2453 | 0.2454 |
| 1.7529 | 3.43 | 25000 | 2.0726 | 0.4584 | 0.1583 | 0.2464 | 0.2464 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.12.1