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End of training

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  1. README.md +3 -3
README.md CHANGED
@@ -5,14 +5,14 @@ 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_full_ft3
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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_model_full_ft3
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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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@@ -41,7 +41,7 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 32
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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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- - num_epochs: 18
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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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_full_ft2
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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_model_full_ft2
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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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  - total_train_batch_size: 32
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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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+ - num_epochs: 4
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  - mixed_precision_training: Native AMP
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  ### Training results