metadata
library_name: transformers
base_model: allenai/biomed_roberta_base
tags:
- generated_from_trainer
model-index:
- name: roberta-base-biomed-myers-briggs-description-classifier
results: []
roberta-base-biomed-myers-briggs-description-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: 0.2540
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