tiny-bert-sst2-distilled

garliceric/tiny-bert-sst2-distilled

tiny-bert-sst2-distilled is a machine learning model from garliceric. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

License: apache-2.0
Model type: bert
Access: Public
Created: Nov 10, 2025
Updated: Jul 16, 2026
SHA: f969b54c

Model card

From the Hugging Face model README

tiny-bert-sst2-distilled

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

Loss: 1.4425
Accuracy: 0.8280

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: 0.0009145413682990444
train_batch_size: 8192
eval_batch_size: 8192
seed: 33
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.8528	1.0	9	2.1211	0.7523
1.6717	2.0	18	1.6573	0.7947
1.0433	3.0	27	1.3459	0.8108
0.7426	4.0	36	1.3367	0.8222
0.6055	5.0	45	1.3740	0.8245
0.5311	6.0	54	1.4192	0.8303
0.4907	7.0	63	1.4403	0.8257
0.4664	8.0	72	1.4425	0.8280

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu117
Datasets 2.16.1
Tokenizers 0.13.3

Type: bert
License: apache-2.0
Created: Nov 10, 2025
Updated: Jul 16, 2026