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longformer-base-4096-finetuned-smartcontract
JakeClark/longformer-base-4096-finetuned-smartcontract
longformer-base-4096-finetuned-smartcontract is a machine learning model from JakeClark. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- longformer
- Access
- Public
- Created
- Aug 29, 2024
- Updated
- Aug 31, 2024
- SHA
- c73558fe
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-finetuned-smartcontract
This model is a fine-tuned version of allenai/longformer-base-4096 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1021
- F1: 0.9526
- Roc Auc: 0.9662
- Accuracy: 0.7676
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.1752 | 1.0 | 14383 | 0.1695 | 0.8965 | 0.9209 | 0.5820 |
| 0.1454 | 2.0 | 28766 | 0.1453 | 0.9221 | 0.9433 | 0.6598 |
| 0.0989 | 3.0 | 43149 | 0.1265 | 0.9351 | 0.9523 | 0.7082 |
| 0.0908 | 4.0 | 57532 | 0.1091 | 0.9470 | 0.9612 | 0.7476 |
| 0.0595 | 5.0 | 71915 | 0.1021 | 0.9526 | 0.9662 | 0.7676 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- longformer
- License
- apache-2.0
- Created
- Aug 29, 2024
- Updated
- Aug 31, 2024