indobert-lite-base-finetuned-mental-health
This model is a fine-tuned version of indobenchmark/indobert-lite-base-p2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3035
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 40 | 5.5302 |
| 5.944 | 2.0 | 80 | 4.7983 |
| 5.944 | 3.0 | 120 | 4.4818 |
| 4.5573 | 4.0 | 160 | 4.3413 |
| 4.5573 | 5.0 | 200 | 4.3139 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Downloads last month
- 7
Model tree for rafliirfansyah78/indobert-lite-base-finetuned-mental-health
Base model
indobenchmark/indobert-lite-base-p2