---
license: apache-2.0
base_model: Qwen/Qwen2-0.5B-Instruct
tags:
- generated_from_trainer
model-index:
- name: fine-tuned-Qwen2-0.5B-Instruct-NER
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# fine-tuned-Qwen2-0.5B-Instruct-NER

This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7071
- Exact Match: 0.0
- F1 Score: 47.2556
- Format Score: 0.0
- Content Score: 83.3333
- Pred Items: 0
- True Items: 23
- Common Items: 0
- Levenshtein Distance: 196.1667

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Exact Match | F1 Score | Format Score | Content Score | Pred Items | True Items | Common Items | Levenshtein Distance |
|:-------------:|:-------:|:-----:|:---------------:|:-----------:|:--------:|:------------:|:-------------:|:----------:|:----------:|:------------:|:--------------------:|
| 0.2192        | 9.4877  | 5000  | 0.3631          | 0.0         | 50.5576  | 0.0          | 50.0          | 0          | 37         | 0            | 164.3333             |
| 0.154         | 18.9753 | 10000 | 0.3042          | 0.0         | 34.6132  | 0.0          | 83.3333       | 0          | 19         | 0            | 133.8333             |
| 0.1439        | 28.4630 | 15000 | 0.2594          | 0.0         | 38.6508  | 0.0          | 66.6667       | 1          | 11         | 0            | 102.0                |
| 0.1315        | 37.9507 | 20000 | 0.2014          | 0.0         | 43.9169  | 0.0          | 66.6667       | 2          | 10         | 0            | 79.0                 |
| 0.1204        | 47.4383 | 25000 | 0.7071          | 0.0         | 47.2556  | 0.0          | 83.3333       | 0          | 23         | 0            | 196.1667             |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1