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prompt-compressor
educationhigh750/prompt-compressor
prompt-compressor is a machine learning model from educationhigh750. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Aug 21, 2026
- Updated
- Aug 21, 2026
- SHA
- 5d708f90
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. -->
prompt-compressor
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8566
- Rouge1: 0.4106
- Rouge2: 0.3099
- Rougel: 0.3802
- Rougelsum: 0.3806
- Length Ratio To Reference: 3.2022
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Length Ratio To Reference |
|---|---|---|---|---|---|---|---|---|
| 0.7994 | 0.992 | 62 | 0.9094 | 0.4043 | 0.2832 | 0.3667 | 0.3665 | 3.239 |
| 0.4782 | 2.0 | 125 | 0.9544 | 0.3673 | 0.2642 | 0.3358 | 0.336 | 3.5952 |
| 0.2149 | 2.992 | 187 | 1.0604 | 0.4005 | 0.2792 | 0.3608 | 0.3605 | 3.0623 |
| 0.1182 | 4.0 | 250 | 1.1147 | 0.3914 | 0.2734 | 0.3539 | 0.3541 | 3.2979 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.8.0+cu128
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- bart
- License
- mit
- Created
- Aug 21, 2026
- Updated
- Aug 21, 2026