---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: roberta-base-biomed-myers-briggs-description-classifier
  results: []
---

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# roberta-base-biomed-myers-briggs-description-classifier

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3081

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3037        | 1.0   | 2500  | 0.3081          |
| 0.1854        | 2.0   | 5000  | 0.3156          |
| 0.2427        | 3.0   | 7500  | 0.3379          |
| 0.277         | 4.0   | 10000 | 0.3720          |
| 0.0938        | 5.0   | 12500 | 0.3165          |
| 0.0029        | 6.0   | 15000 | 0.3622          |


### Framework versions

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