metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-finetuned-BBC
results: []
bart-base-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: 0.2173
- Rouge1: 0.169
- Rouge2: 0.1419
- Rougel: 0.1624
- Rougelsum: 0.1651
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 |
---|---|---|---|---|---|---|---|
1.0798 | 1.0 | 7 | 0.4261 | 0.1312 | 0.0749 | 0.0947 | 0.0967 |
0.4858 | 2.0 | 14 | 0.2775 | 0.1419 | 0.1037 | 0.1285 | 0.1288 |
0.3719 | 3.0 | 21 | 0.2435 | 0.16 | 0.1307 | 0.151 | 0.1523 |
0.298 | 4.0 | 28 | 0.2311 | 0.1619 | 0.1292 | 0.1527 | 0.1554 |
0.2607 | 5.0 | 35 | 0.2318 | 0.1593 | 0.1259 | 0.1493 | 0.1526 |
0.2276 | 6.0 | 42 | 0.2211 | 0.1566 | 0.1259 | 0.1479 | 0.151 |
0.2173 | 7.0 | 49 | 0.2177 | 0.169 | 0.1419 | 0.1624 | 0.1651 |
0.1801 | 8.0 | 56 | 0.2173 | 0.169 | 0.1419 | 0.1624 | 0.1651 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1