metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: BART-finetuned-BBC
results: []
BART-finetuned-BBC
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3888
- Rouge1: 0.2466
- Rouge2: 0.2019
- Rougel: 0.2349
- Rougelsum: 0.2349
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: 5.6e-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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 1.7582 | 1.0 | 157 | 0.4626 | 0.2305 | 0.1837 | 0.2172 | 0.2173 |
| 0.4534 | 2.0 | 314 | 0.4221 | 0.2347 | 0.1892 | 0.222 | 0.2225 |
| 0.3744 | 3.0 | 471 | 0.4073 | 0.2474 | 0.2041 | 0.2344 | 0.2347 |
| 0.3208 | 4.0 | 628 | 0.3928 | 0.2398 | 0.1947 | 0.2266 | 0.2267 |
| 0.2804 | 5.0 | 785 | 0.3767 | 0.2471 | 0.2052 | 0.2348 | 0.2352 |
| 0.2537 | 6.0 | 942 | 0.3832 | 0.2499 | 0.2055 | 0.2374 | 0.2375 |
| 0.2361 | 7.0 | 1099 | 0.3897 | 0.2466 | 0.2035 | 0.2354 | 0.2358 |
| 0.2166 | 8.0 | 1256 | 0.3888 | 0.2466 | 0.2019 | 0.2349 | 0.2349 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0