gpt2-finetuned-KAGGLE

agarc15/gpt2-finetuned-KAGGLE

gpt2-finetuned-KAGGLE is a text classification model from agarc15. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: gpt2
Access: Public
Created: Aug 23, 2023
Updated: Aug 23, 2023
SHA: fde4a7d8

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Base models

Model card

From the Hugging Face model README

gpt2-finetuned-KAGGLE

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8914
Accuracy: 0.7862

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	21	1.5759	0.7379
No log	2.0	42	0.8914	0.7862
No log	3.0	63	0.8166	0.7862
No log	4.0	84	0.8055	0.7862
No log	5.0	105	0.8031	0.7862

Framework versions

Transformers 4.32.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: gpt2
License: mit
Created: Aug 23, 2023
Updated: Aug 23, 2023