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Qwen3-8B-SEvolve2_re_30k_tag5_processed
lemonhat/Qwen3-8B-SEvolve2_re_30k_tag5_processed
Qwen3-8B-SEvolve2_re_30k_tag5_processed is a text generation model from lemonhat. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- qwen3
- Access
- Public
- Created
- Sep 20, 2025
- Updated
- Sep 20, 2025
- SHA
- b48aeb08
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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. -->
SEvolve2_re_30k_tag5_processed
This model is a fine-tuned version of Qwen/Qwen3-8B on the SEvolve2_re_30k_tag5_processed dataset. It achieves the following results on the evaluation set:
- Loss: 0.2433
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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.259 | 0.8021 | 300 | 0.2571 |
| 0.2227 | 1.6043 | 600 | 0.2449 |
Framework versions
- Transformers 4.51.0
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- License
- other
- Created
- Sep 20, 2025
- Updated
- Sep 20, 2025