---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: task-t1
  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-t1

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4146
- F1: 0.7293
- Chronic Disease F1: 0.7306
- Chronic Disease Num: 2537
- Cancer F1: 0.7151
- Cancer Num: 880
- Allergy F1: 0.6551
- Allergy Num: 219
- Treatment F1: 0.7365
- Treatment Num: 3197
- 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 |
|:-------------:|:------:|:----:|:---------------:|:------:|:------------------:|:-------------------:|:---------:|:----------:|:----------:|:-----------:|:------------:|:-------------:|:--------:|:---------:|
| 1.0109        | 0.2717 | 100  | 0.6744          | 0.4452 | 0.4017             | 2537                | 0.0448    | 880        | 0.0        | 219         | 0.5504       | 3197          | 0        | 0         |
| 0.5833        | 0.5435 | 200  | 0.4954          | 0.6268 | 0.6392             | 2537                | 0.5937    | 880        | 0.0        | 219         | 0.6459       | 3197          | 0        | 0         |
| 0.4668        | 0.8152 | 300  | 0.4519          | 0.6782 | 0.6951             | 2537                | 0.6396    | 880        | 0.0359     | 219         | 0.6962       | 3197          | 0        | 0         |
| 0.4275        | 1.0870 | 400  | 0.4314          | 0.7046 | 0.7102             | 2537                | 0.6883    | 880        | 0.5127     | 219         | 0.7138       | 3197          | 0        | 0         |
| 0.3483        | 1.3587 | 500  | 0.4282          | 0.7181 | 0.7212             | 2537                | 0.7078    | 880        | 0.6469     | 219         | 0.7226       | 3197          | 0        | 0         |
| 0.3334        | 1.6304 | 600  | 0.4126          | 0.7293 | 0.7313             | 2537                | 0.7170    | 880        | 0.6683     | 219         | 0.7349       | 3197          | 0        | 0         |
| 0.3249        | 1.9022 | 700  | 0.4146          | 0.7293 | 0.7306             | 2537                | 0.7151    | 880        | 0.6551     | 219         | 0.7365       | 3197          | 0        | 0         |


### Framework versions

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