metadata
base_model: Qwen/Qwen2.5-0.5B-Instruct
license: apache-2.0
metrics:
- accuracy
- f1
tags:
- generated_from_trainer
model-index:
- name: twt-probe
results: []
twt-probe
This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1094
- Accuracy: 0.9815
- F1: 0.9906
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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.188 | 1.0 | 2378 | 0.1183 | 0.9765 | 0.9880 |
| 0.1216 | 2.0 | 4756 | 0.1067 | 0.9815 | 0.9906 |
| 0.1278 | 3.0 | 7134 | 0.1094 | 0.9815 | 0.9906 |
Framework versions
- Transformers 4.43.0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1