tinybert-TG-HS-HX-parentpretrained

joseph10/tinybert-TG-HS-HX-parentpretrained

tinybert-TG-HS-HX-parentpretrained is a text classification model from joseph10. Use it when you need a label for a piece of text. It is set up for transformers. 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

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Dec 11, 2023
Updated: Dec 11, 2023
SHA: 8d257ef3

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Base models

google/bert_uncased_L-4_H-256_A-4

Model card

From the Hugging Face model README

tinybert-TG-HS-HX-parentpretrained

This model is a fine-tuned version of google/bert_uncased_L-4_H-256_A-4 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1937
Accuracy: 0.8230

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: 5.2898091511494136e-05
train_batch_size: 128
eval_batch_size: 128
seed: 33
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1819	1.0	197	0.1923	0.8227
0.1791	2.0	394	0.1922	0.8223
0.1772	3.0	591	0.1950	0.8143
0.1761	4.0	788	0.1932	0.8239
0.1756	5.0	985	0.1932	0.8234
0.1752	6.0	1182	0.1939	0.8242
0.1759	7.0	1379	0.1937	0.8230

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.1
Datasets 2.15.0
Tokenizers 0.15.0

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Dec 11, 2023
Updated: Dec 11, 2023