jb_sytem_bin_judge_base_qa_wdo

GeorgeDaDude/jb_sytem_bin_judge_base_qa_wdo

jb_sytem_bin_judge_base_qa_wdo is a text classification model from GeorgeDaDude. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: May 28, 2024
Updated: May 28, 2024
SHA: b9638bab

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Base models

Model card

From the Hugging Face model README

jb_sytem_bin_judge_base_qa_wdo

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

Loss: 0.6013
Accuracy: 0.7910
Recall: 0.9244
Precision: 0.6854
F1: 0.7871

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: 5e-05
train_batch_size: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Recall	Precision	F1
0.7797	1.0	1708	0.5605	0.7498	0.4643	0.8805	0.6080
0.662	2.0	3416	0.6802	0.5821	0.0	0.0	0.0
0.7345	3.0	5124	0.6811	0.5821	0.0	0.0	0.0
0.6475	4.0	6832	0.6817	0.5821	0.0	0.0	0.0
0.2504	5.0	8540	0.6013	0.7910	0.9244	0.6854	0.7871

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: May 28, 2024
Updated: May 28, 2024