metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-cnn-reddit-summary
results: []
bart-large-cnn-reddit-summary
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: 1.8583
- Rouge1: 0.4709
- Rouge2: 0.1924
- Rougel: 0.3079
- Rougelsum: 0.3439
- Gen Len: 97.7071
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: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 9
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 |
|---|---|---|---|---|---|---|---|---|
| 1.82 | 1.0 | 1126 | 1.7804 | 0.4605 | 0.1876 | 0.3019 | 0.3362 | 93.7606 |
| 1.5081 | 2.0 | 2252 | 1.7577 | 0.4656 | 0.1908 | 0.304 | 0.3408 | 97.3503 |
| 1.2919 | 3.0 | 3378 | 1.7755 | 0.4709 | 0.1945 | 0.3096 | 0.3447 | 96.6052 |
| 1.1352 | 4.0 | 4504 | 1.8307 | 0.4708 | 0.1945 | 0.3088 | 0.345 | 97.0 |
| 1.0327 | 5.0 | 5630 | 1.8583 | 0.4709 | 0.1924 | 0.3079 | 0.3439 | 97.7071 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0