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Qwen_05_txtt_V2_Stable
Haicaochi/Qwen_05_txtt_V2_Stable
Qwen_05_txtt_V2_Stable is a text generation model from Haicaochi. Use it when you need the model to write or continue 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 Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Nov 2, 2025
- Updated
- Nov 2, 2025
- SHA
- 834cf648
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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. -->
Qwen_05_txtt_V2_Stable
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: 0.3150
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: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6787 | 0.96 | 3 | 0.4154 |
| 0.6787 | 1.92 | 6 | 0.3058 |
| 0.6787 | 2.88 | 9 | 0.2565 |
| 0.3614 | 3.84 | 12 | 0.2357 |
| 0.3614 | 4.8 | 15 | 0.2368 |
| 0.3614 | 5.76 | 18 | 0.2444 |
| 0.1194 | 6.72 | 21 | 0.2615 |
| 0.1194 | 8.0 | 25 | 0.2914 |
| 0.1194 | 8.96 | 28 | 0.3150 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.9.0+cu128
- Datasets 2.14.6
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- License
- apache-2.0
- Created
- Nov 2, 2025
- Updated
- Nov 2, 2025