metadata
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: []
fine-tuned-Qwen2-0.5B-Instruct-NER
This model is a fine-tuned version of 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