metadata
library_name: transformers
base_model: allenai/biomed_roberta_base
tags:
- generated_from_trainer
model-index:
- name: roberta-base-biomed-myers-briggs-classifier
results: []
roberta-base-biomed-myers-briggs-classifier
This model is a fine-tuned version of allenai/biomed_roberta_base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
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 |
|---|---|---|---|
| 2.1171 | 1.0 | 868 | 2.1020 |
| 1.9553 | 2.0 | 1736 | 1.7631 |
| 1.8516 | 3.0 | 2604 | 1.5863 |
| 1.5528 | 4.0 | 3472 | 1.1517 |
| 1.0896 | 5.0 | 4340 | 0.8395 |
| 0.8676 | 6.0 | 5208 | 0.5463 |
| 0.813 | 7.0 | 6076 | 0.3515 |
| 0.9052 | 8.0 | 6944 | 0.2478 |
| 0.4102 | 9.0 | 7812 | 0.1674 |
| 0.4672 | 10.0 | 8680 | 0.1310 |
| 0.3296 | 11.0 | 9548 | 0.0990 |
| 0.364 | 12.0 | 10416 | 0.0778 |
| 0.1635 | 13.0 | 11284 | 0.0473 |
| 0.1695 | 14.0 | 12152 | 0.0223 |
| 0.0506 | 15.0 | 13020 | 0.0127 |
| 0.0004 | 16.0 | 13888 | 0.0088 |
| 0.0907 | 17.0 | 14756 | 0.0075 |
| 0.1488 | 18.0 | 15624 | 0.0001 |
| 0.0023 | 19.0 | 16492 | 0.0001 |
| 0.0004 | 20.0 | 17360 | 0.0001 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3