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led-large-16384-BASE3ep-ASPRPreACE3ep
rosadecsai/led-large-16384-BASE3ep-ASPRPreACE3ep
led-large-16384-BASE3ep-ASPRPreACE3ep is a machine learning model from rosadecsai. 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
- led
- Access
- Public
- Created
- Sep 23, 2026
- Updated
- Sep 29, 2026
- SHA
- 3e55733b
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. -->
led-large-16384-BASE3ep-ASPRPreACE3ep
This model is a fine-tuned version of rosadecsai/led-large-16384-BASE3ep on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0368
- Rouge1: 42.2843
- Rouge2: 14.6163
- Rougel: 20.4131
- Rougelsum: 39.8542
- Gen Len: 1.0
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.31 | 1.0 | 1132 | 2.0537 | 45.1613 | 18.1592 | 20.5955 | 43.4243 | 1.0 |
| 2.3175 | 2.0 | 2264 | 2.0340 | 33.2871 | 13.3519 | 17.4757 | 32.1775 | 1.0 |
| 2.2535 | 2.9980 | 3393 | 2.0368 | 42.2843 | 14.6163 | 20.4131 | 39.8542 | 1.0 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.11.0+cu128
- Datasets 4.8.5
- Tokenizers 0.21.4
- Library
- transformers
- Type
- led
- License
- apache-2.0
- Created
- Sep 23, 2026
- Updated
- Sep 29, 2026