---
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