tiny_bert_rand_100_v1_wnli

Hartunka/tiny_bert_rand_100_v1_wnli

tiny_bert_rand_100_v1_wnli 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: ae7ece44

Base models

Hartunka/tiny_bert_rand_100_v1

Datasets

glue

Model card

From the Hugging Face model README

tiny_bert_rand_100_v1_wnli

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

Loss: 0.6914
Accuracy: 0.5634

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
0.6941	1.0	3	0.6914	0.5634
0.6962	2.0	6	0.6954	0.5634
0.6966	3.0	9	0.7035	0.4366
0.6913	4.0	12	0.6997	0.4085
0.696	5.0	15	0.7007	0.4507
0.6928	6.0	18	0.7075	0.3521

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