distillbert-base-sst-myers-briggs-description-classifier
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 0.0936 | 1.0 | 2500 | 0.3422 |
| 0.1557 | 2.0 | 5000 | 0.2855 |
| 0.0155 | 3.0 | 7500 | 0.3021 |
| 0.1412 | 4.0 | 10000 | 0.3687 |
| 0.0003 | 5.0 | 12500 | 0.4161 |
| 0.0004 | 6.0 | 15000 | 0.4081 |
| 0.0029 | 7.0 | 17500 | 0.4592 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
