albert-base-v2-topic-abstract-classification

Eitanli/albert-base-v2-topic-abstract-classification

albert-base-v2-topic-abstract-classification is a text classification model from Eitanli. 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: albert
Access: Public
Created: Oct 17, 2023
Updated: Oct 17, 2023
SHA: a3d59c77

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Base models

Model card

From the Hugging Face model README

albert-base-v2-topic-abstract-classification

This model is a fine-tuned version of albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2814

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.3621	1.0	4992	0.4209
0.3058	2.0	9984	0.3028
0.2757	3.0	14976	0.2814

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: albert
License: apache-2.0
Created: Oct 17, 2023
Updated: Oct 17, 2023