biobert-base-pubmed-multilabel
Browse files- README.md +75 -0
- model.safetensors +1 -1
README.md
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---
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base_model: dmis-lab/biobert-v1.1
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tags:
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- generated_from_trainer
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metrics:
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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: biobert-base-pubmed-multilabel
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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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# biobert-base-pubmed-multilabel
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This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2677
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- Precision: 0.9044
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- Recall: 0.8528
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- F1: 0.8778
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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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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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| 0.3373 | 0.2 | 500 | 0.2859 | 0.9093 | 0.8006 | 0.8515 |
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| 0.2781 | 0.4 | 1000 | 0.2748 | 0.8972 | 0.8388 | 0.8670 |
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| 0.269 | 0.6 | 1500 | 0.2639 | 0.9026 | 0.8405 | 0.8705 |
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| 0.2598 | 0.81 | 2000 | 0.2610 | 0.9037 | 0.8435 | 0.8726 |
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| 0.2543 | 1.01 | 2500 | 0.2559 | 0.9052 | 0.8494 | 0.8764 |
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| 0.2191 | 1.21 | 3000 | 0.2554 | 0.9091 | 0.8437 | 0.8752 |
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| 0.2217 | 1.41 | 3500 | 0.2620 | 0.8917 | 0.8676 | 0.8795 |
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| 0.2232 | 1.61 | 4000 | 0.2529 | 0.9070 | 0.8470 | 0.8759 |
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| 0.2256 | 1.81 | 4500 | 0.2567 | 0.9231 | 0.8176 | 0.8671 |
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| 0.2191 | 2.02 | 5000 | 0.2591 | 0.8936 | 0.8731 | 0.8832 |
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| 0.1744 | 2.22 | 5500 | 0.2674 | 0.8978 | 0.8631 | 0.8801 |
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| 0.1745 | 2.42 | 6000 | 0.2736 | 0.8974 | 0.8566 | 0.8766 |
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| 0.1749 | 2.62 | 6500 | 0.2677 | 0.9044 | 0.8528 | 0.8778 |
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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 433295376
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version https://git-lfs.github.com/spec/v1
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oid sha256:f6d2aeee4173d93fae764ede13f20f594e1eac0150d2f2e16126529964aa6096
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size 433295376
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