metadata
library_name: transformers
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summary-tragedy-Bart-Large-CNN
results: []
summary-tragedy-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: 2.4758
- Rouge1: 0.3972
- Rouge2: 0.1525
- Rougel: 0.2279
- Rougelsum: 0.2297
- Gen Len: 142.0
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.8064 | 1.0 | 10 | 2.5907 | 0.3676 | 0.08 | 0.1808 | 0.1804 | 136.0 |
| 2.4065 | 2.0 | 20 | 2.5102 | 0.3116 | 0.0669 | 0.1732 | 0.1732 | 142.0 |
| 2.2329 | 3.0 | 30 | 2.4821 | 0.3931 | 0.108 | 0.2077 | 0.2074 | 142.0 |
| 2.1376 | 4.0 | 40 | 2.4786 | 0.3972 | 0.1525 | 0.2279 | 0.2297 | 142.0 |
| 2.0733 | 5.0 | 50 | 2.4758 | 0.3972 | 0.1525 | 0.2279 | 0.2297 | 142.0 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3