sent_model

This model is a fine-tuned version of indobenchmark/indobert-base-p2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4024
• Accuracy: 0.9512

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	72	0.2019	0.9617
No log	2.0	144	0.2298	0.9582
No log	3.0	216	0.3607	0.9408
No log	4.0	288	0.4106	0.9338
No log	5.0	360	0.3390	0.9547
No log	6.0	432	0.3567	0.9547
0.0226	7.0	504	0.3608	0.9582
0.0226	8.0	576	0.3653	0.9547
0.0226	9.0	648	0.4015	0.9512
0.0226	10.0	720	0.4024	0.9512

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0