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update model card README.md
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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: Bio_ClinicalBERT_fold_1_ternary_v1
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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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# Bio_ClinicalBERT_fold_1_ternary_v1
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This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8783
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- F1: 0.8042
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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: 2e-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: 25
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 | 290 | 0.5323 | 0.7819 |
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| 0.5531 | 2.0 | 580 | 0.5995 | 0.7931 |
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| 0.5531 | 3.0 | 870 | 0.6572 | 0.8042 |
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| 0.2201 | 4.0 | 1160 | 0.9170 | 0.7955 |
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| 0.2201 | 5.0 | 1450 | 1.1525 | 0.8005 |
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| 0.1047 | 6.0 | 1740 | 1.1867 | 0.7955 |
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| 0.0433 | 7.0 | 2030 | 1.3831 | 0.7918 |
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| 0.0433 | 8.0 | 2320 | 1.4563 | 0.7968 |
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| 0.0203 | 9.0 | 2610 | 1.5230 | 0.7980 |
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| 0.0203 | 10.0 | 2900 | 1.5414 | 0.8030 |
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| 0.0153 | 11.0 | 3190 | 1.7264 | 0.7906 |
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| 0.0153 | 12.0 | 3480 | 1.7484 | 0.7943 |
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| 0.0107 | 13.0 | 3770 | 1.9014 | 0.7844 |
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| 0.008 | 14.0 | 4060 | 1.7726 | 0.7968 |
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| 0.008 | 15.0 | 4350 | 1.7958 | 0.8005 |
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| 0.0091 | 16.0 | 4640 | 1.8139 | 0.7955 |
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| 0.0091 | 17.0 | 4930 | 1.8235 | 0.7993 |
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| 0.0056 | 18.0 | 5220 | 1.8262 | 0.8017 |
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| 0.0019 | 19.0 | 5510 | 1.8121 | 0.8129 |
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| 0.0019 | 20.0 | 5800 | 1.8325 | 0.8166 |
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| 0.0022 | 21.0 | 6090 | 1.8798 | 0.8017 |
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| 0.0022 | 22.0 | 6380 | 1.9708 | 0.7955 |
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| 0.0027 | 23.0 | 6670 | 1.9371 | 0.8017 |
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| 0.0027 | 24.0 | 6960 | 1.8899 | 0.8042 |
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| 0.0002 | 25.0 | 7250 | 1.8783 | 0.8042 |
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### Framework versions
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- Transformers 4.21.0
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- Pytorch 1.12.0+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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