slop-hunter-v3 – AI Model by tessier0ashpool | AlphaNeural AI

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tessier0ashpool/
slop-hunter-v3

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token-classification

generated_from_trainer

microsoft/deberta-v3-base

endpoints_compatible

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slop-hunter-v3

This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1351
F1: 0.7272

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: 16
eval_batch_size: 16
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.8518	1.0	75	0.7363	0.1472
0.2907	2.0	150	0.2681	0.5707
0.2247	3.0	225	0.1877	0.6284
0.129	4.0	300	0.1468	0.6709
0.1335	5.0	375	0.1311	0.7030
0.0689	6.0	450	0.1421	0.6990
0.0637	7.0	525	0.1341	0.7081
0.0738	8.0	600	0.1362	0.7235
0.0696	9.0	675	0.1351	0.7272
0.0619	10.0	750	0.1364	0.7206

Framework versions

Transformers 4.47.1
Pytorch 2.10.0+cu128
Datasets 3.2.0
Tokenizers 0.21.4