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--- |
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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_model2 |
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results: [] |
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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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# MNLP_M2_mcqa_model2 |
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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: 1.5787 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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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: cosine |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.6677 | 1.0 | 4380 | 1.5840 | |
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| 1.6558 | 2.0 | 8760 | 1.5796 | |
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| 1.6602 | 3.0 | 13140 | 1.5785 | |
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| 1.6553 | 4.0 | 17520 | 1.5787 | |
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| 1.6479 | 5.0 | 21900 | 1.5787 | |
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### Framework versions |
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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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