metadata
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-finetuned-summarization
results: []
bart-base-finetuned-summarization
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2885
- Rouge1: 31.8585
- Rouge2: 20.7559
- Rougel: 28.879
- Rougelsum: 29.6017
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: 5.6e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 1.8516 | 1.0 | 308 | 1.3028 | 29.4331 | 19.2619 | 27.1598 | 28.1099 |
| 1.2211 | 2.0 | 616 | 1.2506 | 30.2583 | 19.7126 | 28.1328 | 28.9654 |
| 0.911 | 3.0 | 924 | 1.2316 | 29.3854 | 18.6132 | 27.3488 | 28.2225 |
| 0.6824 | 4.0 | 1232 | 1.2583 | 32.0664 | 22.0751 | 29.521 | 30.5109 |
| 0.542 | 5.0 | 1540 | 1.2885 | 31.8585 | 20.7559 | 28.879 | 29.6017 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3