---
license: apache-2.0
base_model: KpRT/task-t1
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: task-t2
  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-t2

This model is a fine-tuned version of [KpRT/task-t1](https://huggingface.co/KpRT/task-t1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3666
- F1: 0.7591
- Chronic Disease F1: 0.7643
- Chronic Disease Num: 2090
- Cancer F1: 0.6815
- Cancer Num: 896
- Allergy F1: 0.7304
- Allergy Num: 200
- Treatment F1: 0.7803
- Treatment Num: 3185
- 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 |
|:-------------:|:------:|:----:|:---------------:|:------:|:------------------:|:-------------------:|:---------:|:----------:|:----------:|:-----------:|:------------:|:-------------:|:--------:|:---------:|
| 0.4565        | 0.3049 | 100  | 0.4226          | 0.7177 | 0.7053             | 2090                | 0.6397    | 896        | 0.6633     | 200         | 0.7524       | 3185          | 0        | 0         |
| 0.4055        | 0.6098 | 200  | 0.3888          | 0.7396 | 0.7399             | 2090                | 0.6684    | 896        | 0.5989     | 200         | 0.7673       | 3185          | 0        | 0         |
| 0.4327        | 0.9146 | 300  | 0.3818          | 0.7441 | 0.7441             | 2090                | 0.6614    | 896        | 0.7506     | 200         | 0.7684       | 3185          | 0        | 0         |
| 0.3348        | 1.2195 | 400  | 0.3783          | 0.7518 | 0.7459             | 2090                | 0.6825    | 896        | 0.7032     | 200         | 0.7778       | 3185          | 0        | 0         |
| 0.3207        | 1.5244 | 500  | 0.3701          | 0.7597 | 0.7619             | 2090                | 0.6830    | 896        | 0.7457     | 200         | 0.7825       | 3185          | 0        | 0         |
| 0.3224        | 1.8293 | 600  | 0.3666          | 0.7591 | 0.7643             | 2090                | 0.6815    | 896        | 0.7304     | 200         | 0.7803       | 3185          | 0        | 0         |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1