longformer-base-4096-gnad10 – AI Model by cyrp | AlphaNeural AI

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cyrp/
longformer-base-4096-gnad10

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allenai/longformer-base-4096

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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