---
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-uncased-finetuned-sst-2-english
tags:
- generated_from_trainer
model-index:
- name: distillbert-base-sst-myers-briggs-mixed-classifier
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distillbert-base-sst-myers-briggs-mixed-classifier

This model is a fine-tuned version of [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2795

## 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: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3913        | 1.0   | 1250 | 0.3104          |
| 0.2896        | 2.0   | 2500 | 0.2795          |
| 0.1814        | 3.0   | 3750 | 0.2810          |
| 0.1271        | 4.0   | 5000 | 0.3228          |
| 0.042         | 5.0   | 6250 | 0.3681          |
| 0.1128        | 6.0   | 7500 | 0.4417          |
| 0.0383        | 7.0   | 8750 | 0.4947          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0