distilbert_classification_task1_post_title

abdulmanaam/distilbert_classification_task1_post_title

distilbert_classification_task1_post_title is a text classification model from abdulmanaam. 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: Jul 17, 2024
Updated: Jul 17, 2024
SHA: f3dbdad0

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Base models

distilbert/distilbert-base-uncased

Model card

From the Hugging Face model README

distilbert_classification_task1_post_title

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

Loss: 0.7830
Accuracy: 0.67

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	200	0.8321	0.65
No log	2.0	400	0.7830	0.67

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jul 17, 2024
Updated: Jul 17, 2024