tiny-bert-sst2-distilled-clone – AI Model by fxmarty | AlphaNeural AI

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fxmarty/
tiny-bert-sst2-distilled-clone

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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tiny-bert-sst2-distilled

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: 1.7305
Accuracy: 0.8326

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: 0.0007199555649276667
train_batch_size: 1024
eval_batch_size: 1024
seed: 33
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
1.77	1.0	66	1.6939	0.8165
0.729	2.0	132	1.5090	0.8326
0.5242	3.0	198	1.5369	0.8257
0.4017	4.0	264	1.7025	0.8326
0.327	5.0	330	1.6743	0.8245
0.2749	6.0	396	1.7305	0.8337
0.2521	7.0	462	1.7305	0.8326

Framework versions

Transformers 4.12.3
Pytorch 1.9.1
Datasets 1.15.1
Tokenizers 0.10.3