metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-JES-cnn_dailymail
results:
- task:
name: Summarization
type: summarization
metrics:
- name: Rouge1
type: rouge
value: 43.9753
bart-JES-cnn_dailymail
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1452
- Rouge1: 43.9753
- Rouge2: 19.7191
- Rougel: 33.6236
- Rougelsum: 41.1683
- Gen Len: 80.1767
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: 3e-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: 6.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.2949 | 1.0 | 71779 | 1.2080 | 11.7171 | 3.3284 | 11.3209 | 11.4022 | 20.0 |
| 1.191 | 2.0 | 143558 | 1.1615 | 11.8484 | 3.363 | 11.4175 | 11.5037 | 20.0 |
| 1.0907 | 3.0 | 215337 | 1.1452 | 12.6221 | 3.773 | 12.1226 | 12.2359 | 20.0 |
| 0.9798 | 4.0 | 287116 | 1.1670 | 12.4306 | 3.7329 | 11.9497 | 12.0617 | 20.0 |
| 0.9112 | 5.0 | 358895 | 1.1667 | 12.5404 | 3.7842 | 12.0541 | 12.1643 | 20.0 |
| 0.8358 | 6.0 | 430674 | 1.1997 | 12.5153 | 3.778 | 12.0382 | 12.1332 | 20.0 |
Framework versions
- Transformers 4.10.2
- Pytorch 1.7.1+cu110
- Datasets 1.11.0
- Tokenizers 0.10.3