test-trainer

ChaoqunZhao/test-trainer

test-trainer is a text classification model from ChaoqunZhao. 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: bert
Access: Public
Created: Jul 19, 2024
Updated: Jul 19, 2024
SHA: 7425a11c

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Base models

Model card

From the Hugging Face model README

ChaoqunZhao/test-trainer

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

Loss: 0.6379
Accuracy: 0.8456
F1: 0.8919

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: 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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	230	0.3657	0.8505	0.8943
No log	2.0	460	0.4226	0.8358	0.8851
0.378	3.0	690	0.6379	0.8456	0.8919

Framework versions

Transformers 4.42.4
Pytorch 2.3.1
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jul 19, 2024
Updated: Jul 19, 2024