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

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

This model is a fine-tuned version of [allenai/biomed_roberta_base](https://huggingface.co/allenai/biomed_roberta_base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2540

## 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: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3286        | 1.0   | 1000 | 0.4405          |
| 0.4562        | 2.0   | 2000 | 0.2795          |
| 0.1113        | 3.0   | 3000 | 0.2540          |
| 0.0441        | 4.0   | 4000 | 0.2629          |
| 0.1155        | 5.0   | 5000 | 0.2732          |
| 0.0594        | 6.0   | 6000 | 0.3155          |


### Framework versions

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