longformer-base-4096-finetuned-smartcontract – AI Model by JakeClark | AlphaNeural AI

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JakeClark/
longformer-base-4096-finetuned-smartcontract

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allenai/longformer-base-4096

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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