my_awesome_model_4

NawinCom/my_awesome_model_4

my_awesome_model_4 is a text classification model from NawinCom. 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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Hugging Face

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Mar 11, 2023
Updated: Mar 11, 2023
SHA: 2a0308ff

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Model card

From the Hugging Face model README

my_awesome_model_4

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0866
Accuracy: 0.9644

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.09	200	0.2342	0.9098
No log	0.19	400	0.2575	0.9178
0.2768	0.28	600	0.1922	0.9316
0.2768	0.38	800	0.1274	0.9566
0.1402	0.47	1000	0.1153	0.9566
0.1402	0.57	1200	0.1516	0.9472
0.1402	0.66	1400	0.0866	0.9644
0.126	0.75	1600	0.1375	0.9572
0.126	0.85	1800	0.1084	0.9638
0.1068	0.94	2000	0.0998	0.9655
0.1068	1.04	2200	0.1060	0.9656
0.1068	1.13	2400	0.0999	0.9689

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

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