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Qwen2.5-7B-Instruct-SFT
happzy2633/Qwen2.5-7B-Instruct-SFT
Qwen2.5-7B-Instruct-SFT is a text generation model from happzy2633. 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
- Jun 27, 2025
- Updated
- Jun 27, 2025
- SHA
- dd351759
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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. -->
Qwen2.5-7B-Instruct-critic_lean_mix_48k
This model is a fine-tuned version of Qwen2.5-7B-Instruct on the critic_lean_mix_48k dataset. It achieves the following results on the evaluation set:
- Loss: 0.3344
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: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3494 | 1.0 | 2970 | 0.3095 |
| 0.2317 | 2.0 | 5940 | 0.3043 |
| 0.1291 | 3.0 | 8910 | 0.3344 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- License
- other
- Created
- Jun 27, 2025
- Updated
- Jun 27, 2025