autocomplete_model – AI Model by maulairfani | AlphaNeural AI

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maulairfani/
autocomplete_model

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indolem/indobert-base-uncased

autotrain_compatible

endpoints_compatible

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autocomplete_model

This model is a fine-tuned version of indolem/indobert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.2526

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-07
train_batch_size: 8
eval_batch_size: 8
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
No log	1.0	17	3.2168
No log	2.0	34	3.1874
No log	3.0	51	3.2537
No log	4.0	68	3.2260
No log	5.0	85	3.1759
3.4421	6.0	102	3.1777
3.4421	7.0	119	3.2093
3.4421	8.0	136	3.2277
3.4421	9.0	153	3.1694
3.4421	10.0	170	3.1333

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3