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Qwen2.5-0.5B-Instruct-FactThink-Boxed
jdqqjr/Qwen2.5-0.5B-Instruct-FactThink-Boxed
Qwen2.5-0.5B-Instruct-FactThink-Boxed is a machine learning model from jdqqjr. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- other
- Model type
- qwen2
- Access
- Public
- Created
- Feb 20, 2025
- Updated
- Apr 29, 2025
- SHA
- e84e9a92
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. -->
Qwen2.5-0.5B-Instruct-FactThink-SFT
This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on the cot_fact_think_sft_train 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 6.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Type
- qwen2
- License
- other
- Languages
- zho, eng, fra, spa, por, deu
- Created
- Feb 20, 2025
- Updated
- Apr 29, 2025