out_base_V – AI Model by LucileFavero | AlphaNeural AI

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LucileFavero/
out_base_V

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text-classification

generated_from_trainer

allenai/longformer-base-4096

endpoints_compatible

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out_base_V

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: 0.9725
Accuracy: 0.6443
F1: 0.6330
Cohen Kappa: 0.4632

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
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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	Accuracy	F1	Cohen Kappa
0.7313	1.0	134	0.7851	0.6667	0.5973	0.5339
0.9013	2.0	268	0.7168	0.6723	0.6588	0.4886
0.5642	3.0	402	0.7978	0.6555	0.6411	0.4756
0.4911	4.0	536	0.9718	0.6611	0.6177	0.5085
0.32	5.0	670	0.9725	0.6443	0.6330	0.4632

Framework versions

Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2