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bart-base-reddit_tifu-sentence-paraphrased-10-cnt-supervised-basic
taiypeo/bart-base-reddit_tifu-sentence-paraphrased-10-cnt-supervised-basic
bart-base-reddit_tifu-sentence-paraphrased-10-cnt-supervised-basic is a machine learning model from taiypeo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Dec 6, 2025
- Updated
- Dec 6, 2025
- SHA
- e653ee21
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bart-base-reddit_tifu-sentence-paraphrased-10-cnt-supervised-basic
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5633
- Rouge1: 0.1587
- Rouge2: 0.0334
- Rougel: 0.129
- Rougelsum: 0.1288
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_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 4.7322 | 1.6667 | 5 | 4.2561 | 0.1179 | 0.0141 | 0.0951 | 0.0949 |
| 3.9516 | 3.3333 | 10 | 3.7572 | 0.1227 | 0.0154 | 0.0987 | 0.0986 |
| 3.2504 | 5.0 | 15 | 3.5486 | 0.1349 | 0.0196 | 0.1082 | 0.1081 |
| 2.8546 | 6.6667 | 20 | 3.4719 | 0.1518 | 0.0271 | 0.1219 | 0.1217 |
| 2.6338 | 8.3333 | 25 | 3.4529 | 0.1559 | 0.03 | 0.1253 | 0.1251 |
| 2.3835 | 10.0 | 30 | 3.4654 | 0.1518 | 0.0303 | 0.124 | 0.124 |
| 2.1009 | 11.6667 | 35 | 3.4887 | 0.1486 | 0.0307 | 0.1215 | 0.1213 |
| 2.0342 | 13.3333 | 40 | 3.5124 | 0.154 | 0.0316 | 0.1263 | 0.1259 |
| 1.7477 | 15.0 | 45 | 3.5348 | 0.1541 | 0.031 | 0.1258 | 0.1256 |
| 1.8574 | 16.6667 | 50 | 3.5515 | 0.1566 | 0.0324 | 0.128 | 0.1277 |
| 1.7186 | 18.3333 | 55 | 3.5593 | 0.159 | 0.0331 | 0.1292 | 0.129 |
| 1.5622 | 20.0 | 60 | 3.5633 | 0.1587 | 0.0334 | 0.129 | 0.1288 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Dec 6, 2025
- Updated
- Dec 6, 2025