indonesian-emotion-distilbert-base-cased-finetuned – AI Model by AptaArkana | AlphaNeural AI

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AptaArkana/
indonesian-emotion-distilbert-base-cased-finetuned

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text-classification

generated_from_trainer

Toshifumi/distilbert-base-multilingual-cased-finetuned-emotion

autotrain_compatible

endpoints_compatible

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indonesian-emotion-distilbert-base-cased-finetuned

This model is a fine-tuned version of Toshifumi/distilbert-base-multilingual-cased-finetuned-emotion on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3309
Accuracy: 0.9299
Precision: 0.9299
Recall: 0.9299
F1: 0.9299

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
lr_scheduler_warmup_ratio: 0.01
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.2189	1.0	2747	0.2818	0.9179	0.9179	0.9179	0.9179
0.1878	2.0	5494	0.2642	0.9207	0.9207	0.9207	0.9207
0.1569	3.0	8241	0.2835	0.9273	0.9273	0.9273	0.9273
0.1379	4.0	10988	0.3153	0.9274	0.9274	0.9274	0.9274
0.1125	5.0	13735	0.3309	0.9299	0.9299	0.9299	0.9299

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2