End of training
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- model.safetensors +1 -1
README.md
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---
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base_model: medicalai/ClinicalBERT
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: ClinicalBERT-medical-text-classification
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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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# ClinicalBERT-medical-text-classification
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This model is a fine-tuned version of [medicalai/ClinicalBERT](https://huggingface.co/medicalai/ClinicalBERT) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4658
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- Accuracy: 0.314
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- Precision: 0.1836
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- Recall: 0.314
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- F1: 0.2283
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 2.8679 | 1.0 | 250 | 2.8172 | 0.286 | 0.1039 | 0.286 | 0.1496 |
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| 2.5319 | 2.0 | 500 | 2.5591 | 0.338 | 0.1387 | 0.338 | 0.1927 |
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| 2.7507 | 3.0 | 750 | 2.6758 | 0.317 | 0.1405 | 0.317 | 0.1876 |
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| 2.6973 | 4.0 | 1000 | 2.4457 | 0.357 | 0.1596 | 0.357 | 0.2144 |
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| 2.5436 | 5.0 | 1250 | 2.4393 | 0.364 | 0.1807 | 0.364 | 0.2344 |
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| 2.3917 | 6.0 | 1500 | 2.4236 | 0.358 | 0.1838 | 0.358 | 0.2367 |
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| 2.285 | 7.0 | 1750 | 2.3873 | 0.369 | 0.1912 | 0.369 | 0.2370 |
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| 2.2748 | 8.0 | 2000 | 2.4152 | 0.359 | 0.1919 | 0.359 | 0.2389 |
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| 2.1526 | 9.0 | 2250 | 2.4075 | 0.338 | 0.1975 | 0.338 | 0.2305 |
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| 2.1944 | 10.0 | 2500 | 2.4658 | 0.314 | 0.1836 | 0.314 | 0.2283 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 711560352
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version https://git-lfs.github.com/spec/v1
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size 711560352
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