metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base_readme_summarization
results: []
bart-base_readme_summarization
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8669
- Rouge1: 0.5127
- Rouge2: 0.3646
- Rougel: 0.4876
- Rougelsum: 0.4869
- Gen Len: 14.0839
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: 2e-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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.5281 | 1.0 | 1458 | 2.1087 | 0.4819 | 0.3345 | 0.4579 | 0.4568 | 14.0504 |
| 2.0703 | 2.0 | 2916 | 1.9665 | 0.4965 | 0.3464 | 0.4732 | 0.472 | 13.3129 |
| 1.7808 | 3.0 | 4374 | 1.9068 | 0.5065 | 0.3557 | 0.4815 | 0.4811 | 14.271 |
| 1.604 | 4.0 | 5832 | 1.8722 | 0.5082 | 0.3634 | 0.4878 | 0.4873 | 13.8849 |
| 1.5412 | 5.0 | 7290 | 1.8669 | 0.5127 | 0.3646 | 0.4876 | 0.4869 | 14.0839 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1