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evalt_qwq_sft_12k_balanced_baseline_1e5_ep5
reds0510/evalt_qwq_sft_12k_balanced_baseline_1e5_ep5
evalt_qwq_sft_12k_balanced_baseline_1e5_ep5 is a text generation model from reds0510. 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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6.2 GB on disk
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- qwen2
- Access
- Public
- Created
- Jan 20, 2026
- Updated
- Jan 20, 2026
- SHA
- e2c06e19
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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. -->
qwen25_3bin_full_output_generation_qwq_sft_12k_balanced_baseline_1e5_ep5_8gpus
This model is a fine-tuned version of Qwen/Qwen2.5-3B-Instruct on the output_generation_qwq_sft_12k_balanced_baseline dataset.
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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 64
- 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
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
Training results
Framework versions
- Transformers 4.52.4
- Pytorch 2.9.1+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- License
- other
- Created
- Jan 20, 2026
- Updated
- Jan 20, 2026