qevasion_flat_1782203160 – AI Model by abdiharyadi | AlphaNeural AI

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abdiharyadi/
qevasion_flat_1782203160

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

text-embeddings-inference

endpoints_compatible

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qevasion_flat_1782203160

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

Loss: 1.7099
Accuracy: 0.3333
Precision Macro: 0.1519
Recall Macro: 0.1532
F1 Macro: 0.1280

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: 3e-05
train_batch_size: 12
eval_batch_size: 12
seed: 120
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
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision Macro	Recall Macro	F1 Macro
1.9698	1.0	259	1.8661	0.3101	0.1082	0.1142	0.0582
1.8544	2.0	518	1.8761	0.3072	0.0623	0.1132	0.0582
1.7084	3.0	777	1.7099	0.3333	0.1519	0.1532	0.1280

Framework versions

Transformers 5.12.1
Pytorch 2.10.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2