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Qwen2.5-Coder-7B-Instruct-t1_5k_v1_tag5mini
lemonhat/Qwen2.5-Coder-7B-Instruct-t1_5k_v1_tag5mini
Qwen2.5-Coder-7B-Instruct-t1_5k_v1_tag5mini 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
- qwen2
- Access
- Public
- Created
- Aug 25, 2025
- Updated
- Aug 25, 2025
- SHA
- 9dc4af2e
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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. -->
t1_5k_v1_tag5mini
This model is a fine-tuned version of Qwen/Qwen2.5-Coder-7B-Instruct on the t1_5k_v1_tag5mini dataset. It achieves the following results on the evaluation set:
- Loss: 0.3651
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
- total_train_batch_size: 8
- 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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5022 | 0.5435 | 100 | 0.3715 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.6.0+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- License
- other
- Created
- Aug 25, 2025
- Updated
- Aug 25, 2025