results

Noodle-bg/results

results is a text classification model from Noodle-bg. 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: Jun 29, 2024
Updated: Feb 17, 2025
SHA: 6f994c9f

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Base models

Model card

From the Hugging Face model README

results

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: 0.3222

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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.2659	1.0	1563	0.2439
0.1545	2.0	3126	0.2349
0.0886	3.0	4689	0.2954
0.0479	4.0	6252	0.3222

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.0
Tokenizers 0.21.0

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jun 29, 2024
Updated: Feb 17, 2025