metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
model-index:
- name: bart-cnn-samsum-finetuned
results: []
bart-cnn-samsum-finetuned
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: 0.2177
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 6 | 0.3206 |
| 1.4764 | 2.0 | 12 | 0.2261 |
| 1.4764 | 3.0 | 18 | 0.2178 |
| 0.2188 | 4.0 | 24 | 0.2113 |
| 0.2077 | 5.0 | 30 | 0.2105 |
| 0.2077 | 6.0 | 36 | 0.2146 |
| 0.1529 | 7.0 | 42 | 0.2058 |
| 0.1529 | 8.0 | 48 | 0.2216 |
| 0.1482 | 9.0 | 54 | 0.2060 |
| 0.1433 | 10.0 | 60 | 0.2049 |
| 0.1433 | 11.0 | 66 | 0.2040 |
| 0.1153 | 12.0 | 72 | 0.2117 |
| 0.1153 | 13.0 | 78 | 0.2181 |
| 0.1022 | 14.0 | 84 | 0.2220 |
| 0.1145 | 15.0 | 90 | 0.2177 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2