metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
model-index:
- name: bart-large-cnn-ft-sci
results: []
bart-large-cnn-ft-sci
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: 2.5922
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.9744 | 1.0 | 1452 | 2.7263 |
| 2.54 | 2.0 | 2904 | 2.6377 |
| 2.3055 | 3.0 | 4356 | 2.6040 |
| 2.1439 | 4.0 | 5808 | 2.5700 |
| 2.0372 | 5.0 | 7260 | 2.5868 |
| 1.9539 | 6.0 | 8712 | 2.5922 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1