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---
library_name: transformers
license: mit
base_model: microsoft/deberta-base
tags:
- generated_from_trainer
model-index:
- name: deberta-myers-briggs-classifier
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# deberta-myers-briggs-classifier
This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.6415 | 1.0 | 868 | 1.7265 |
| 1.6881 | 2.0 | 1736 | 1.3475 |
| 1.5645 | 3.0 | 2604 | 1.0214 |
| 1.0915 | 4.0 | 3472 | 0.7177 |
| 0.6687 | 5.0 | 4340 | 0.4303 |
| 0.4507 | 6.0 | 5208 | 0.3196 |
| 0.5139 | 7.0 | 6076 | 0.1659 |
| 0.5381 | 8.0 | 6944 | 0.1550 |
| 0.2482 | 9.0 | 7812 | 0.0851 |
| 0.0942 | 10.0 | 8680 | 0.0824 |
| 0.1959 | 11.0 | 9548 | 0.0536 |
| 0.0547 | 12.0 | 10416 | 0.0248 |
| 0.0049 | 13.0 | 11284 | 0.0127 |
| 0.0451 | 14.0 | 12152 | 0.0096 |
| 0.0001 | 15.0 | 13020 | 0.0091 |
| 0.0 | 16.0 | 13888 | 0.0085 |
| 0.0 | 17.0 | 14756 | 0.0000 |
| 0.0 | 18.0 | 15624 | 0.0000 |
| 0.0 | 19.0 | 16492 | 0.0000 |
| 0.0 | 20.0 | 17360 | 0.0000 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
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