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MNLP_M3_mcqa_model_2
aymanbakiri/MNLP_M3_mcqa_model_2
MNLP_M3_mcqa_model_2 is a machine learning model from aymanbakiri. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Jun 4, 2025
- Updated
- Jun 5, 2025
- SHA
- 83ae2b72
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. -->
MNLP_M3_mcqa_model_2
This model is a fine-tuned version of unsloth/Qwen3-0.6B-Base on an unknown 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.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: 0.05
- num_epochs: 6
Training results
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.0
- Library
- peft
- Type
- qwen3
- License
- apache-2.0
- Created
- Jun 4, 2025
- Updated
- Jun 5, 2025