metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: PTS-Bart-Large-CNN
results: []
PTS-Bart-Large-CNN
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: 1.2638
- Rouge1: 0.6376
- Rouge2: 0.4143
- Rougel: 0.538
- Rougelsum: 0.5387
- Gen Len: 76.8417
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: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 180 | 0.8748 | 0.6166 | 0.3827 | 0.5058 | 0.5055 | 77.6583 |
| No log | 2.0 | 360 | 0.8774 | 0.6307 | 0.4064 | 0.5302 | 0.531 | 77.5111 |
| 0.6761 | 3.0 | 540 | 0.9064 | 0.635 | 0.4052 | 0.5309 | 0.5311 | 76.2833 |
| 0.6761 | 4.0 | 720 | 1.0386 | 0.6329 | 0.4038 | 0.5261 | 0.5262 | 78.4889 |
| 0.6761 | 5.0 | 900 | 1.0993 | 0.6285 | 0.4016 | 0.5239 | 0.5246 | 77.0083 |
| 0.2016 | 6.0 | 1080 | 1.2025 | 0.6351 | 0.4126 | 0.5351 | 0.5356 | 76.0722 |
| 0.2016 | 7.0 | 1260 | 1.2399 | 0.6356 | 0.4108 | 0.5362 | 0.5368 | 78.5361 |
| 0.2016 | 8.0 | 1440 | 1.2638 | 0.6376 | 0.4143 | 0.538 | 0.5387 | 76.8417 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1