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--- |
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library_name: transformers |
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base_model: allenai/biomed_roberta_base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: roberta-base-biomed-myers-briggs-classifier |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# roberta-base-biomed-myers-briggs-classifier |
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This model is a fine-tuned version of [allenai/biomed_roberta_base](https://huggingface.co/allenai/biomed_roberta_base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0001 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 2.1171 | 1.0 | 868 | 2.1020 | |
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| 1.9553 | 2.0 | 1736 | 1.7631 | |
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| 1.8516 | 3.0 | 2604 | 1.5863 | |
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| 1.5528 | 4.0 | 3472 | 1.1517 | |
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| 1.0896 | 5.0 | 4340 | 0.8395 | |
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| 0.8676 | 6.0 | 5208 | 0.5463 | |
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| 0.813 | 7.0 | 6076 | 0.3515 | |
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| 0.9052 | 8.0 | 6944 | 0.2478 | |
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| 0.4102 | 9.0 | 7812 | 0.1674 | |
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| 0.4672 | 10.0 | 8680 | 0.1310 | |
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| 0.3296 | 11.0 | 9548 | 0.0990 | |
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| 0.364 | 12.0 | 10416 | 0.0778 | |
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| 0.1635 | 13.0 | 11284 | 0.0473 | |
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| 0.1695 | 14.0 | 12152 | 0.0223 | |
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| 0.0506 | 15.0 | 13020 | 0.0127 | |
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| 0.0004 | 16.0 | 13888 | 0.0088 | |
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| 0.0907 | 17.0 | 14756 | 0.0075 | |
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| 0.1488 | 18.0 | 15624 | 0.0001 | |
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| 0.0023 | 19.0 | 16492 | 0.0001 | |
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| 0.0004 | 20.0 | 17360 | 0.0001 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.20.3 |
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