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bart-large-xsum-rouge-3-loss-differentiable-10-cnt-supervised
taiypeo/bart-large-xsum-rouge-3-loss-differentiable-10-cnt-supervised
bart-large-xsum-rouge-3-loss-differentiable-10-cnt-supervised 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 9, 2025
- Updated
- Dec 10, 2025
- SHA
- 4a030f06
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-large-xsum-rouge-3-loss-differentiable-10-cnt-supervised
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3291
- Rouge1: 0.3491
- Rouge2: 0.1324
- Rougel: 0.2707
- Rougelsum: 0.2705
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.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 |
|---|---|---|---|---|---|---|---|
| 2.4337 | 3.4 | 10 | 2.0532 | 0.2298 | 0.0574 | 0.1607 | 0.1608 |
| 1.1324 | 6.8 | 20 | 1.9706 | 0.3288 | 0.1234 | 0.2566 | 0.2569 |
| 0.6287 | 10.0 | 30 | 2.1180 | 0.3394 | 0.1291 | 0.2651 | 0.2653 |
| 0.3201 | 13.4 | 40 | 2.2383 | 0.3432 | 0.1293 | 0.2663 | 0.2663 |
| 0.1944 | 16.8 | 50 | 2.3291 | 0.3491 | 0.1324 | 0.2707 | 0.2705 |
| 0.1571 | 20.0 | 60 | 2.3595 | 0.3486 | 0.1302 | 0.2693 | 0.2693 |
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 9, 2025
- Updated
- Dec 10, 2025