16_combo_webscrap_1709_v2_reduce_others

dsmsb/16_combo_webscrap_1709_v2_reduce_others

16_combo_webscrap_1709_v2_reduce_others is a text classification model from dsmsb. 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 18, 2023
Updated: Sep 18, 2023
SHA: e9cd61ef

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Base models

Model card

From the Hugging Face model README

16_combo_webscrap_1709_v2_reduce_others

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

Loss: 0.1501
Accuracy: 0.9636

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: 1e-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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	363	1.0481	0.7263
1.5287	2.0	726	0.5613	0.8655
0.6856	3.0	1089	0.3666	0.9121
0.6856	4.0	1452	0.2880	0.9284
0.4313	5.0	1815	0.2187	0.9464
0.3097	6.0	2178	0.1992	0.9505
0.2454	7.0	2541	0.1627	0.9598
0.2454	8.0	2904	0.1501	0.9636

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Sep 18, 2023
Updated: Sep 18, 2023