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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
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