---
library_name: transformers
license: apache-2.0
base_model: jtatman/distillbert-base-sst-myers-briggs-classifier
tags:
- generated_from_trainer
model-index:
- name: distillbert-base-sst-myers-briggs-description-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. -->

# distillbert-base-sst-myers-briggs-description-classifier

This model is a fine-tuned version of [jtatman/distillbert-base-sst-myers-briggs-classifier](https://huggingface.co/jtatman/distillbert-base-sst-myers-briggs-classifier) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2995

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3966        | 1.0   | 2500  | 0.3182          |
| 0.0964        | 2.0   | 5000  | 0.2995          |
| 0.1303        | 3.0   | 7500  | 0.3781          |
| 0.2824        | 4.0   | 10000 | 0.3750          |
| 0.0697        | 5.0   | 12500 | 0.4141          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3