indonesian_sentiment_distilbert_base_cased – AI Model by AptaArkana | AlphaNeural AI

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AptaArkana/
indonesian_sentiment_distilbert_base_cased

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text-classification

generated_from_trainer

lxyuan/distilbert-base-multilingual-cased-sentiments-student

autotrain_compatible

endpoints_compatible

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sentiment2

This model is a fine-tuned version of lxyuan/distilbert-base-multilingual-cased-sentiments-student on the indonlu dataset. It achieves the following results on the evaluation set:

Loss: 0.6085
Accuracy: 0.9151
Precision: 0.9153
Recall: 0.9151
F1: 0.9150

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: 5e-05
train_batch_size: 40
eval_batch_size: 40
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	275	0.2543	0.9190	0.9213	0.9190	0.9196
0.2191	2.0	550	0.2710	0.9143	0.9133	0.9143	0.9134
0.2191	3.0	825	0.3715	0.9135	0.9144	0.9135	0.9114
0.0714	4.0	1100	0.4751	0.9071	0.9085	0.9071	0.9077
0.0714	5.0	1375	0.4859	0.9206	0.9214	0.9206	0.9203
0.0263	6.0	1650	0.5383	0.9143	0.9155	0.9143	0.9143
0.0263	7.0	1925	0.5630	0.9167	0.9166	0.9167	0.9165
0.0126	8.0	2200	0.5916	0.9151	0.9151	0.9151	0.9146
0.0126	9.0	2475	0.6073	0.9135	0.9130	0.9135	0.9131
0.0056	10.0	2750	0.6085	0.9151	0.9153	0.9151	0.9150

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2