metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mbti-classification-xlnet-base-cased-augment
results: []
mbti-classification-xlnet-base-cased-augment
This model is a fine-tuned version of xlnet-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2045
- Accuracy: 0.2829
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: cosine
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 2.1055 | 1.0 | 29900 | 0.2884 | 2.1344 |
| 1.8127 | 2.0 | 59800 | 0.2830 | 2.1479 |
| 1.6953 | 3.0 | 89700 | 2.2045 | 0.2829 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2