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Qwen2.5-Coder-7B-Instruct-swe_5k_v1_tag5mini
lemonhat/Qwen2.5-Coder-7B-Instruct-swe_5k_v1_tag5mini
Qwen2.5-Coder-7B-Instruct-swe_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 18, 2025
- Updated
- Aug 18, 2025
- SHA
- 83e98662
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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. -->
swe_5k_v1_tag5mini
This model is a fine-tuned version of Qwen/Qwen2.5-Coder-7B-Instruct on the swe_5k_v1_tag5mini dataset. It achieves the following results on the evaluation set:
- Loss: 0.4714
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- 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 |
|---|---|---|---|
| 0.6295 | 0.3650 | 100 | 0.4949 |
| 0.6747 | 0.7299 | 200 | 0.4726 |
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 18, 2025
- Updated
- Aug 18, 2025