hw1

Mouna46/hw1

hw1 is a text classification model from Mouna46. 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: distilbert
Access: Public
Created: Aug 24, 2025
Updated: Aug 24, 2025
SHA: 35a07713

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Base models

Model card

From the Hugging Face model README

hw1

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9681
Matthews Correlation: 0.5645

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
0.2372	1.0	535	0.5641	0.5317
0.1756	2.0	1070	0.6379	0.5490
0.1409	3.0	1605	0.8246	0.5502
0.0998	4.0	2140	0.9212	0.5634
0.0684	5.0	2675	0.9681	0.5645

Framework versions

Transformers 4.55.4
Pytorch 2.8.0+cu126
Datasets 2.21.0
Tokenizers 0.21.4

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Aug 24, 2025
Updated: Aug 24, 2025