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bart-base-aeslc-100-cnt-supervised-basic
taiypeo/bart-base-aeslc-100-cnt-supervised-basic
bart-base-aeslc-100-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 1, 2025
- Updated
- Dec 1, 2025
- SHA
- 12f8dbe6
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-aeslc-100-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: 5.0844
- Rouge1: 0.2808
- Rouge2: 0.1419
- Rougel: 0.2753
- Rougelsum: 0.2747
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 6.1403 | 0.4 | 10 | 6.9236 | 0.1585 | 0.0704 | 0.1462 | 0.1462 |
| 4.9941 | 0.8 | 20 | 5.0562 | 0.1453 | 0.0668 | 0.1361 | 0.1363 |
| 4.1791 | 1.2 | 30 | 4.9244 | 0.1541 | 0.0725 | 0.1505 | 0.1507 |
| 3.4392 | 1.6 | 40 | 4.8745 | 0.2133 | 0.1096 | 0.21 | 0.2098 |
| 3.5621 | 2.0 | 50 | 4.8968 | 0.2549 | 0.1269 | 0.2493 | 0.2493 |
| 3.2391 | 2.4 | 60 | 4.9138 | 0.2605 | 0.1338 | 0.2563 | 0.2558 |
| 2.9714 | 2.8 | 70 | 4.9622 | 0.2632 | 0.1334 | 0.2595 | 0.2592 |
| 3.1684 | 3.2 | 80 | 4.9588 | 0.264 | 0.1334 | 0.2599 | 0.2599 |
| 2.8075 | 3.6 | 90 | 4.9389 | 0.2653 | 0.1333 | 0.2603 | 0.2601 |
| 3.1753 | 4.0 | 100 | 4.9270 | 0.2663 | 0.1344 | 0.2615 | 0.2608 |
| 2.6681 | 4.4 | 110 | 4.9459 | 0.2715 | 0.136 | 0.2666 | 0.2658 |
| 2.9856 | 4.8 | 120 | 4.9598 | 0.2706 | 0.1331 | 0.266 | 0.2651 |
| 2.3011 | 5.2 | 130 | 4.9771 | 0.2694 | 0.1336 | 0.2639 | 0.2633 |
| 2.3453 | 5.6 | 140 | 5.0104 | 0.2715 | 0.1339 | 0.266 | 0.2656 |
| 2.5795 | 6.0 | 150 | 5.0211 | 0.2756 | 0.1375 | 0.2696 | 0.2691 |
| 2.357 | 6.4 | 160 | 5.0120 | 0.2809 | 0.143 | 0.2746 | 0.2745 |
| 2.3038 | 6.8 | 170 | 5.0234 | 0.2809 | 0.143 | 0.2741 | 0.2738 |
| 1.9331 | 7.2 | 180 | 5.0388 | 0.2823 | 0.1438 | 0.2757 | 0.2752 |
| 2.4936 | 7.6 | 190 | 5.0445 | 0.2823 | 0.1418 | 0.2764 | 0.276 |
| 2.1529 | 8.0 | 200 | 5.0488 | 0.2807 | 0.1417 | 0.2748 | 0.2742 |
| 1.9398 | 8.4 | 210 | 5.0644 | 0.282 | 0.1423 | 0.2765 | 0.2759 |
| 2.0997 | 8.8 | 220 | 5.0781 | 0.2795 | 0.1416 | 0.2739 | 0.2734 |
| 2.1958 | 9.2 | 230 | 5.0839 | 0.2804 | 0.1419 | 0.2747 | 0.2742 |
| 2.0698 | 9.6 | 240 | 5.0859 | 0.2804 | 0.1421 | 0.2749 | 0.2743 |
| 2.1219 | 10.0 | 250 | 5.0844 | 0.2808 | 0.1419 | 0.2753 | 0.2747 |
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 1, 2025
- Updated
- Dec 1, 2025