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hilmansw/
indobert-finetuned-sentiment-happiness-index

Name: indobert-finetuned-sentiment-happiness-index
Availability: InStock

generated_from_trainer

indobenchmark/indobert-base-p1

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indobert-finetuned-sentiment-happiness-index

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on an own private dataset. It achieves the following results on the evaluation set:

Loss: 1.4094
Accuracy: 0.8048

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	270	0.5214	0.7900
0.5321	2.0	540	0.6425	0.7475
0.5321	3.0	810	0.7702	0.7835
0.1711	4.0	1080	1.0106	0.7937
0.1711	5.0	1350	1.2141	0.7891
0.0508	6.0	1620	1.3340	0.7965
0.0508	7.0	1890	1.3483	0.8030
0.0133	8.0	2160	1.3591	0.8085
0.0133	9.0	2430	1.4149	0.8057
0.0055	10.0	2700	1.4094	0.8048

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

hilmansw/indobert-finetuned-sentiment-happiness-index

indobert-finetuned-sentiment-happiness-index

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hilmansw/
indobert-finetuned-sentiment-happiness-index