test-trainer

kbondar17/test-trainer

test-trainer is a text classification model from kbondar17. 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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Hugging Face

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Jun 25, 2023
Updated: Jun 25, 2023
SHA: a0f890e8

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Model card

From the Hugging Face model README

test-trainer

This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4009
F1: 0.6363
Roc Auc: 0.7682
Accuracy: 0.6079

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
No log	1.0	125	0.2975	0.5710	0.7129	0.4693
No log	2.0	250	0.3742	0.6226	0.7621	0.6013
No log	3.0	375	0.4009	0.6363	0.7682	0.6079

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Jun 25, 2023
Updated: Jun 25, 2023