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---
library_name: transformers
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
should probably proofread and complete it, then remove this comment. -->
# 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
|