mlm-20230510-indobert-large-p1-001-pt2

This model is a fine-tuned version of intanm/mlm-20230503-indobert-large-p1-001 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.0818

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: 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 1.0 333 2.4107
1.9893 2.0 666 2.3410
1.9893 3.0 999 2.3118
1.7566 4.0 1332 2.2965
1.654 5.0 1665 2.1781
1.654 6.0 1998 2.1757
1.601 7.0 2331 2.1280
1.6437 8.0 2664 2.1664
1.6437 9.0 2997 2.1523
1.679 10.0 3330 2.1121

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3
Downloads last month
8
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.

Dataset used to train intanm/mlm-20230510-indobert-large-p1-001-pt2