| | ---
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| | library_name: transformers
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| | license: apache-2.0
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| | base_model: Qwen/Qwen3-0.6B-Base
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| | tags:
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| | - generated_from_trainer
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| | model-index:
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| | - name: MNLP_M2_mcqa_model_rational_math_en_cn
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| | results: []
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| | ---
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| |
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| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| | should probably proofread and complete it, then remove this comment. -->
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| |
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| | # MNLP_M2_mcqa_model_rational_math_en_cn
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| |
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| | This model is a fine-tuned version of [Qwen/Qwen3-0.6B-Base](https://huggingface.co/Qwen/Qwen3-0.6B-Base) on an unknown dataset.
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| | It achieves the following results on the evaluation set:
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| | - Loss: 0.8507
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| |
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| | ## Model description
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| |
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| | More information needed
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| |
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| | ## Intended uses & limitations
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| |
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| | More information needed
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| |
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| | ## Training and evaluation data
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| |
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| | More information needed
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| |
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| | ## Training procedure
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| |
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| | ### Training hyperparameters
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| |
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| | The following hyperparameters were used during training:
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| | - learning_rate: 2e-05
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| | - train_batch_size: 1
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| | - eval_batch_size: 1
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| | - seed: 42
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| | - gradient_accumulation_steps: 8
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| | - total_train_batch_size: 8
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| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| | - lr_scheduler_type: linear
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| | - lr_scheduler_warmup_ratio: 0.05
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| | - num_epochs: 3
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| |
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| | ### Training results
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| |
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| | | Training Loss | Epoch | Step | Validation Loss |
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| | |:-------------:|:------:|:----:|:---------------:|
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| | | 1.1705 | 1.0 | 2667 | 0.8624 |
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| | | 1.0313 | 2.0 | 5334 | 0.8483 |
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| | | 1.0575 | 2.9992 | 7998 | 0.8507 |
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| |
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| |
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| | ### Framework versions
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| |
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| | - Transformers 4.51.3
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| | - Pytorch 2.5.1+cu124
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| | - Datasets 3.2.0
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| | - Tokenizers 0.21.0
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| | |
