metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart_samsum_model
results: []
bart_samsum_model
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: 1.5355
- Rouge1: 0.4698
- Rouge2: 0.2352
- Rougel: 0.397
- Rougelsum: 0.3963
- Gen Len: 18.1368
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.8239 | 1.0 | 1842 | 1.5911 | 0.4604 | 0.2229 | 0.3882 | 0.3878 | 18.5128 |
| 1.6012 | 2.0 | 3684 | 1.5462 | 0.4648 | 0.2332 | 0.395 | 0.3945 | 17.9866 |
| 1.4771 | 3.0 | 5526 | 1.5355 | 0.4698 | 0.2352 | 0.397 | 0.3963 | 18.1368 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0