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longformer-base-4096-gnad10
cyrp/longformer-base-4096-gnad10
longformer-base-4096-gnad10 is a machine learning model from cyrp. 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 peft. 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
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Feb 21, 2025
- Updated
- Feb 21, 2025
- SHA
- 485b969e
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. -->
longformer-base-4096-gnad10
This model is a fine-tuned version of allenai/longformer-base-4096 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8507
- F1: 0.7045
- Accuracy: 0.7062
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|---|---|---|---|---|---|
| 1.3506 | 1.0 | 1156 | 1.2553 | 0.5525 | 0.5652 |
| 1.2343 | 2.0 | 2312 | 0.9642 | 0.6715 | 0.6722 |
| 1.1224 | 3.0 | 3468 | 1.0319 | 0.6367 | 0.6420 |
| 1.0623 | 4.0 | 4624 | 0.8621 | 0.6998 | 0.7043 |
| 1.0311 | 5.0 | 5780 | 0.8507 | 0.7045 | 0.7062 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.6.0+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- peft
- License
- apache-2.0
- Created
- Feb 21, 2025
- Updated
- Feb 21, 2025