Jira15ALBERT_2_Unbalance

YakovElm/Jira15ALBERT_2_Unbalance

Jira15ALBERT_2_Unbalance is a text classification model from YakovElm. 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.

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: May 25, 2023
Updated: May 25, 2023
SHA: dada31cc

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Model card

From the Hugging Face model README

Jira15ALBERT_2_Unbalance

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

Train Loss: 0.4044
Train Accuracy: 0.7859
Validation Loss: 1.1636
Validation Accuracy: 0.5426
Epoch: 2

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:

optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': 1.0, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.4810	0.7838	0.9760	0.5205	0
0.4546	0.7828	0.7245	0.5394	1
0.4044	0.7859	1.1636	0.5426	2

Framework versions

Transformers 4.29.2
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: albert
License: apache-2.0
Created: May 25, 2023
Updated: May 25, 2023