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Qwen2.5-0.5B-Instruct-finetune
Mithilss/Qwen2.5-0.5B-Instruct-finetune
Qwen2.5-0.5B-Instruct-finetune is a text classification model from Mithilss. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Oct 2, 2025
- Updated
- Oct 5, 2025
- SHA
- 3baf61d2
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Base models
Model card
From the Hugging Face model README
<!-- 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. -->
Qwen2.5-0.5B-Instruct-finetune
This model is a fine-tuned version of unsloth/Qwen2.5-0.5B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4704
- Spearman: 0.0908
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Spearman |
|---|---|---|---|---|
| 0.6624 | 0.4916 | 1000 | 0.4717 | 0.0806 |
| 0.52 | 0.9833 | 2000 | 0.4704 | 0.0908 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- qwen2
- License
- apache-2.0
- Created
- Oct 2, 2025
- Updated
- Oct 5, 2025