Downloads · 30 days
4
5% of all-time downloads
led-large-16384-finetune-paperLedBASEAttention
haryde/led-large-16384-finetune-paperLedBASEAttention
led-large-16384-finetune-paperLedBASEAttention is a machine learning model from haryde. 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. --
All-time downloads
78
Public
Parameters
460M
12.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.8 GB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- led
- Access
- Public
- Created
- Jun 2, 2025
- Updated
- Jun 3, 2025
- SHA
- 482ecc07
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-finetune-paperLedBASEAttention
This model is a fine-tuned version of allenai/led-large-16384 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.8741
- Rouge1: 36.6438
- Rouge2: 6.8729
- Rougel: 15.411
- Rougelsum: 33.5616
- 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 |
|---|---|---|---|---|---|---|---|---|
| 2.9305 | 0.9993 | 1128 | 2.9793 | 35.8974 | 8.3168 | 16.9625 | 34.714 | 1.0 |
| 2.7387 | 1.9993 | 2256 | 2.8920 | 31.348 | 7.3298 | 14.0021 | 29.4671 | 1.0 |
| 2.6102 | 2.9993 | 3384 | 2.8741 | 36.6438 | 6.8729 | 15.411 | 33.5616 | 1.0 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Library
- transformers
- Type
- led
- License
- apache-2.0
- Created
- Jun 2, 2025
- Updated
- Jun 3, 2025