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gates04/
Structured-FP16-KD-SD-new-NID

Name: Structured-FP16-KD-SD-new-NID
Availability: InStock

generated_from_trainer

gates04/Structured-FP16-KD-SD-NID

finetune

autotrain_compatible

endpoints_compatible

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Structured-FP16-KD-SD-new-NID

This model is a fine-tuned version of gates04/Structured-FP16-KD-SD-NID on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0152
Accuracy: 0.9928
Precision: 0.9612
Recall: 0.9669
F1 score: 0.9629

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: 300
eval_batch_size: 300
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	Accuracy	Precision	Recall	F1 score
0.02	1.0	3960	0.0200	0.9919	0.9757	0.9434	0.9499
0.0167	2.0	7920	0.0180	0.9922	0.9763	0.9550	0.9609
0.0138	3.0	11880	0.0167	0.9926	0.9713	0.9639	0.9663
0.0129	4.0	15840	0.0159	0.9928	0.9654	0.9600	0.9616
0.0105	5.0	19800	0.0152	0.9928	0.9612	0.9669	0.9629

Framework versions

Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1

gates04/Structured-FP16-KD-SD-new-NID

Structured-FP16-KD-SD-new-NID

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gates04/
Structured-FP16-KD-SD-new-NID