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license: apache-2.0
base_model: KpRT/task-t2
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: task-t3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# task-t3
This model is a fine-tuned version of [KpRT/task-t2](https://huggingface.co/KpRT/task-t2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3985
- F1: 0.7669
- Chronic Disease F1: 0.7755
- Chronic Disease Num: 2507
- Cancer F1: 0.7152
- Cancer Num: 753
- Allergy F1: 0.7833
- Allergy Num: 271
- Treatment F1: 0.7715
- Treatment Num: 2963
- Other F1: 0
- Other Num: 0
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Chronic Disease F1 | Chronic Disease Num | Cancer F1 | Cancer Num | Allergy F1 | Allergy Num | Treatment F1 | Treatment Num | Other F1 | Other Num |
|:-------------:|:------:|:----:|:---------------:|:------:|:------------------:|:-------------------:|:---------:|:----------:|:----------:|:-----------:|:------------:|:-------------:|:--------:|:---------:|
| 0.236 | 0.3135 | 100 | 0.4006 | 0.7553 | 0.7577 | 2507 | 0.7027 | 753 | 0.7767 | 271 | 0.7650 | 2963 | 0 | 0 |
| 0.2141 | 0.6270 | 200 | 0.4293 | 0.7513 | 0.7662 | 2507 | 0.6703 | 753 | 0.7850 | 271 | 0.7577 | 2963 | 0 | 0 |
| 0.2483 | 0.9404 | 300 | 0.4024 | 0.7628 | 0.7710 | 2507 | 0.6994 | 753 | 0.7765 | 271 | 0.7712 | 2963 | 0 | 0 |
| 0.19 | 1.2539 | 400 | 0.4005 | 0.7666 | 0.7764 | 2507 | 0.7010 | 753 | 0.8069 | 271 | 0.7720 | 2963 | 0 | 0 |
| 0.1997 | 1.5674 | 500 | 0.3986 | 0.7698 | 0.7786 | 2507 | 0.7137 | 753 | 0.7946 | 271 | 0.7750 | 2963 | 0 | 0 |
| 0.2297 | 1.8809 | 600 | 0.3985 | 0.7669 | 0.7755 | 2507 | 0.7152 | 753 | 0.7833 | 271 | 0.7715 | 2963 | 0 | 0 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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