metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
model-index:
- name: bart-cnn-aps-fineTuned
results: []
bart-cnn-aps-fineTuned
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0169
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: 1e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1174 | 1.0 | 12 | 0.0623 |
| 0.0517 | 2.0 | 24 | 0.0303 |
| 0.0316 | 3.0 | 36 | 0.0224 |
| 0.0215 | 4.0 | 48 | 0.0198 |
| 0.019 | 5.0 | 60 | 0.0190 |
| 0.0171 | 6.0 | 72 | 0.0183 |
| 0.0175 | 7.0 | 84 | 0.0178 |
| 0.0168 | 8.0 | 96 | 0.0176 |
| 0.0165 | 9.0 | 108 | 0.0172 |
| 0.0157 | 10.0 | 120 | 0.0169 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2