bdc2024-indogpt-chatgpt-1 – AI Model by Mikask | AlphaNeural AI

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Mikask/
bdc2024-indogpt-chatgpt-1

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text-classification

generated_from_trainer

indobenchmark/indogpt

autotrain_compatible

text-generation-inference

endpoints_compatible

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bdc2024-indogpt-chatgpt-1

This model is a fine-tuned version of indobenchmark/indogpt on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4125
Accuracy: 0.9120
Balanced Accuracy: 0.7419
Precision: 0.9074
Recall: 0.9120
F1: 0.9000

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Balanced Accuracy	Precision	Recall	F1
No log	1.0	483	0.7389	0.7859	0.5178	0.8025	0.7859	0.7522
0.9144	2.0	966	0.5773	0.8337	0.6070	0.8360	0.8337	0.8036
0.5745	3.0	1449	0.4493	0.8910	0.7056	0.8885	0.8910	0.8747
0.3836	4.0	1932	0.4228	0.9025	0.7261	0.8978	0.9025	0.8878
0.2392	5.0	2415	0.4125	0.9120	0.7419	0.9074	0.9120	0.9000

Framework versions

Transformers 4.33.1
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.13.3