---
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