---
license: mit
base_model: prajjwal1/bert-tiny
tags:
- generated_from_trainer
model-index:
- name: medicare_ner
  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. -->

# medicare_ner

This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0001
- Overall Precision: 1.0
- Overall Recall: 1.0
- Overall F1: 1.0
- Overall Accuracy: 1.0
- Age F1: 1.0
- Yob F1: 1.0

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 150

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Age F1 | Yob F1 |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:------:|:------:|
| 0.0276        | 43.48  | 1000 | 0.0005          | 1.0               | 1.0            | 1.0        | 1.0              | 1.0    | 1.0    |
| 0.0006        | 86.96  | 2000 | 0.0002          | 1.0               | 1.0            | 1.0        | 1.0              | 1.0    | 1.0    |
| 0.0003        | 130.43 | 3000 | 0.0001          | 1.0               | 1.0            | 1.0        | 1.0              | 1.0    | 1.0    |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1