metadata
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-stats-extract
results: []
bart-stats-extract
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: 0.3450
- Rouge1: 62.2604
- Rouge2: 51.3208
- Rougel: 55.5471
- Rougelsum: 58.157
- Gen Len: 90.4286
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 4 | 1.0447 | 51.308 | 37.3054 | 44.334 | 47.5415 | 74.0 |
| No log | 2.0 | 8 | 0.5919 | 55.1069 | 43.0158 | 49.1003 | 51.4122 | 92.2857 |
| No log | 3.0 | 12 | 0.4159 | 60.2464 | 48.6734 | 54.0306 | 54.847 | 95.1429 |
| No log | 4.0 | 16 | 0.3450 | 62.2604 | 51.3208 | 55.5471 | 58.157 | 90.4286 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3