---
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: 0.3619
- Exact Match: 0.0
- F1 Score: 48.5865
- Format Score: 0.0
- Content Score: 66.6667
- Pred Items: 1
- True Items: 61
- Common Items: 0
- Levenshtein Distance: 151.5

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Exact Match | F1 Score | Format Score | Content Score | Pred Items | True Items | Common Items | Levenshtein Distance |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|:--------:|:------------:|:-------------:|:----------:|:----------:|:------------:|:--------------------:|
| 0.5075        | 1.0   | 527  | 0.4887          | 0.0         | 52.3308  | 0.0          | 66.6667       | 0          | 83         | 0            | 205.9167             |
| 0.3014        | 2.0   | 1054 | 0.1629          | 0.0         | 64.1598  | 0.0          | 83.3333       | 0          | 26         | 0            | 72.4167              |
| 0.2859        | 3.0   | 1581 | 0.9125          | 0.0         | 33.4787  | 0.0          | 41.6667       | 0          | 134        | 0            | 357.0                |
| 0.2702        | 4.0   | 2108 | 0.3270          | 0.0         | 56.7024  | 0.0          | 66.6667       | 0          | 60         | 0            | 143.3333             |
| 0.2462        | 5.0   | 2635 | 0.2629          | 0.0         | 62.3809  | 0.0          | 83.3333       | 0          | 50         | 0            | 110.25               |
| 0.2312        | 6.0   | 3162 | 0.4293          | 0.0         | 45.5724  | 0.0          | 58.3333       | 1          | 69         | 0            | 170.75               |
| 0.2322        | 7.0   | 3689 | 0.1284          | 0.0         | 67.2158  | 0.0          | 83.3333       | 0          | 17         | 0            | 46.5833              |
| 0.2067        | 8.0   | 4216 | 0.5583          | 0.0         | 47.1238  | 0.0          | 58.3333       | 0          | 88         | 0            | 219.25               |
| 0.1953        | 9.0   | 4743 | 0.1389          | 0.0         | 56.6947  | 0.0          | 91.6667       | 0          | 12         | 0            | 52.9167              |
| 0.2192        | 10.0  | 5270 | 0.3619          | 0.0         | 48.5865  | 0.0          | 66.6667       | 1          | 61         | 0            | 151.5                |


### Framework versions

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