longformer-fake-review-detector-combined – AI Model by ibrahim-haji-abdi | AlphaNeural AI

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ibrahim-haji-abdi/
longformer-fake-review-detector-combined

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text-classification

generated_from_trainer

allenai/longformer-base-4096

autotrain_compatible

endpoints_compatible

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longformer-fake-review-detector-combined

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: 0.5666
Accuracy: 0.8858
F1: 0.8934
Precision: 0.9933
Recall: 0.8117

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: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	116	0.2442	0.9095	0.9184	0.9803	0.8638
No log	2.0	232	0.2785	0.9041	0.9119	0.9946	0.8419
No log	3.0	348	0.4057	0.9154	0.9232	0.9926	0.8629
No log	4.0	464	0.5666	0.8858	0.8934	0.9933	0.8117

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2