tiny_bert_rand_100_v1_sst2

Hartunka/tiny_bert_rand_100_v1_sst2

tiny_bert_rand_100_v1_sst2 is a machine learning model from Hartunka. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

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At a glance

Model type: distilbert
Access: Public
Created: Apr 16, 2025
Updated: Apr 16, 2025
SHA: 0a534ebf

Base models

Hartunka/tiny_bert_rand_100_v1

Datasets

glue

Model card

From the Hugging Face model README

tiny_bert_rand_100_v1_sst2

This model is a fine-tuned version of Hartunka/tiny_bert_rand_100_v1 on the GLUE SST2 dataset. It achieves the following results on the evaluation set:

Loss: 0.4504
Accuracy: 0.8096

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: 256
eval_batch_size: 256
seed: 10
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4222	1.0	264	0.4504	0.8096
0.2388	2.0	528	0.5902	0.7798
0.1889	3.0	792	0.5326	0.7936
0.1546	4.0	1056	0.5878	0.8039
0.1291	5.0	1320	0.7141	0.7890
0.1088	6.0	1584	0.8532	0.7833

Framework versions

Transformers 4.40.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.19.1

Type: distilbert
Languages: en
Created: Apr 16, 2025
Updated: Apr 16, 2025