metadata
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: finetuned_on_citesum_bart_text_summarisation
results: []
datasets:
- yuningm/citesum
language:
- en
library_name: transformers
pipeline_tag: summarization
finetuned_on_citesum_bart_text_summarisation
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3597
- Rouge1: 0.3541
- Rouge2: 0.1548
- Rougel: 0.2659
- Rougelsum: 0.2657
- Gen Len: 67.0143
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 350 | 0.3449 | 0.3492 | 0.1554 | 0.2685 | 0.268 | 68.7357 |
| 0.5359 | 2.0 | 700 | 0.3458 | 0.3516 | 0.1531 | 0.2647 | 0.2646 | 67.0714 |
| 0.2219 | 3.0 | 1050 | 0.3597 | 0.3541 | 0.1548 | 0.2659 | 0.2657 | 67.0143 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3