dnd2

mishkashishka/dnd2

dnd2 is a machine learning model from mishkashishka. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

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Hugging Face

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At a glance

Model type: bert
Access: Public
Created: Aug 13, 2024
Updated: Aug 13, 2024
SHA: 88bbd8e0

Base models

apanc/russian-inappropriate-messages

Model card

From the Hugging Face model README

dnd2

This model is a fine-tuned version of apanc/russian-inappropriate-messages on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1599
Accuracy: 0.9298

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: 2e-06
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: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	15	0.9829	0.6316
No log	2.0	30	0.5511	0.7193
No log	3.0	45	0.3689	0.8421
No log	4.0	60	0.2890	0.9123
No log	5.0	75	0.2439	0.8947
No log	6.0	90	0.2130	0.8947
No log	7.0	105	0.1932	0.8947
No log	8.0	120	0.1789	0.9123
No log	9.0	135	0.1702	0.9123
No log	10.0	150	0.1643	0.9123
No log	11.0	165	0.1610	0.9123
No log	12.0	180	0.1599	0.9298

Framework versions

Transformers 4.32.1
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.13.2

Type: bert
Created: Aug 13, 2024
Updated: Aug 13, 2024