metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-cnn_fine_tuned
results: []
bart-large-cnn_fine_tuned
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: 0.3711
- Rouge1: 64.5245
- Rouge2: 53.1381
- Rougel: 47.3234
- Rougelsum: 51.2042
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-06
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.4228 | 1.0 | 389 | 0.3821 | 57.8993 | 45.4774 | 41.9455 | 44.9012 |
| 0.321 | 2.0 | 778 | 0.3641 | 61.5071 | 49.6584 | 45.5774 | 48.3601 |
| 0.2764 | 3.0 | 1167 | 0.3689 | 63.7295 | 52.1907 | 46.827 | 50.3726 |
| 0.2504 | 4.0 | 1556 | 0.3711 | 64.5245 | 53.1381 | 47.3234 | 51.2042 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.1