bert_distillation_tiny – AI Model by masterkristall | AlphaNeural AI

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masterkristall/
bert_distillation_tiny

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text-classification

generated_from_trainer

google/bert_uncased_L-2_H-128_A-2

autotrain_compatible

endpoints_compatible

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bert_distillation_tiny

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the glue dataset. It achieves the following results on the evaluation set:

Loss: 0.4274
Accuracy: 0.8257

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: 0.0001
train_batch_size: 128
eval_batch_size: 128
seed: 2023
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4139	1.0	527	0.4204	0.8096
0.27	2.0	1054	0.4274	0.8257
0.2226	3.0	1581	0.4899	0.8245
0.1931	4.0	2108	0.4961	0.8222
0.1732	5.0	2635	0.5302	0.8222
0.1608	6.0	3162	0.5393	0.8234
0.152	7.0	3689	0.5562	0.8177

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0