test_trainer

Sonny4Sonnix/test_trainer

test_trainer is a text classification model from Sonny4Sonnix. 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: Sep 5, 2023
Updated: Sep 7, 2023
SHA: 7ad58ab6

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Base models

Model card

From the Hugging Face model README

test_trainer

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

Loss: 0.4812

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

Training results

Training Loss	Epoch	Step	Validation Loss
0.6704	0.2	500	0.6205
0.5688	0.4	1000	0.5265
0.564	0.6	1500	0.6922
0.5507	0.8	2000	0.5712
0.5431	1.0	2500	0.5408
0.4814	1.2	3000	0.5074
0.4636	1.4	3500	0.4950
0.4825	1.6	4000	0.4812
0.4604	1.8	4500	0.5300
0.4626	2.0	5000	0.5234
0.4094	2.2	5500	0.5565
0.4156	2.4	6000	0.5373
0.3952	2.6	6500	0.5398
0.3742	2.8	7000	0.5223
0.3847	3.0	7500	0.5249

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Sep 5, 2023
Updated: Sep 7, 2023