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Model: sophiargh/MNLP_M3_mcqa_model_v2
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen3-0.6B-Base
+tags:
+- generated_from_trainer
+model-index:
+- name: MNLP_M3_mcqa_model
+  results: []
+---
+
+<!-- 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
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.2439
+
+## 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: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- 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: 0.01
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.2604        | 0.0649 | 1000 | 0.2616          |
+| 0.2425        | 0.1299 | 2000 | 0.2582          |
+| 0.2335        | 0.1948 | 3000 | 0.2510          |
+| 0.2202        | 0.2598 | 4000 | 0.2430          |
+| 0.2164        | 0.3247 | 5000 | 0.2459          |
+| 0.2072        | 0.3897 | 6000 | 0.2439          |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu126
+- Datasets 3.2.0
+- Tokenizers 0.21.0