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gates04/
FP16-KD-NID

Name: FP16-KD-NID
Availability: InStock

generated_from_trainer

huawei-noah/TinyBERT_General_4L_312D

finetune

autotrain_compatible

endpoints_compatible

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FP16-KD-NID

This model is a fine-tuned version of huawei-noah/TinyBERT_General_4L_312D on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0424
Accuracy: 0.9919
Precision: 0.9348
Recall: 0.9215
F1 score: 0.9238

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: 650
eval_batch_size: 650
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: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1 score
0.1582	1.0	1828	0.1329	0.9827	0.8730	0.8321	0.8307
0.1112	2.0	3656	0.1033	0.9853	0.8697	0.8584	0.8529
0.0927	3.0	5484	0.0820	0.9879	0.9209	0.8790	0.8789
0.0828	4.0	7312	0.0689	0.9893	0.9233	0.8953	0.8980
0.0711	5.0	9140	0.0637	0.9898	0.9204	0.9024	0.9017
0.0673	6.0	10968	0.0595	0.9901	0.9206	0.9080	0.9051
0.0514	7.0	12796	0.0538	0.9907	0.9273	0.9084	0.9100
0.0522	8.0	14624	0.0518	0.9909	0.9266	0.9103	0.9123
0.0478	9.0	16452	0.0492	0.9911	0.9352	0.9105	0.9148
0.0478	10.0	18280	0.0463	0.9914	0.9335	0.9153	0.9185
0.0415	11.0	20108	0.0461	0.9914	0.9282	0.9171	0.9169
0.0394	12.0	21936	0.0445	0.9916	0.9328	0.9190	0.9204
0.0377	13.0	23764	0.0435	0.9917	0.9358	0.9180	0.9217
0.0342	14.0	25592	0.0429	0.9918	0.9346	0.9190	0.9214
0.0383	15.0	27420	0.0424	0.9919	0.9348	0.9215	0.9238

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1

gates04/FP16-KD-NID

FP16-KD-NID

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gates04/
FP16-KD-NID