demo_model

anth0nyhak1m/demo_model

demo_model is a text classification model from anth0nyhak1m. 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: distilbert
Access: Public
Created: Aug 11, 2023
Updated: Aug 11, 2023
SHA: 914571b0

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Model card

From the Hugging Face model README

demo_model

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

Loss: 0.3071
Accuracy: 0.9556

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-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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2576	1.0	4298	0.2377	0.9363
0.1865	2.0	8596	0.2192	0.9463
0.1306	3.0	12894	0.2071	0.9525
0.0954	4.0	17192	0.2278	0.9522
0.0734	5.0	21490	0.2453	0.9534
0.0568	6.0	25788	0.2612	0.9541
0.0427	7.0	30086	0.2736	0.9567
0.0332	8.0	34384	0.2861	0.9559
0.0296	9.0	38682	0.3014	0.9552
0.0198	10.0	42980	0.3071	0.9556

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Aug 11, 2023
Updated: Aug 11, 2023