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MNLP_M3_mcqa_model_v2
sophiargh/MNLP_M3_mcqa_model_v2
MNLP_M3_mcqa_model_v2 is a text generation model from sophiargh. Use it when you need the model to write or continue text. It is set up for transformers. 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
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Jun 4, 2025
- Updated
- Jun 9, 2025
- SHA
- 7fcaf716
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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
This model is a fine-tuned version of 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
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- License
- apache-2.0
- Created
- Jun 4, 2025
- Updated
- Jun 9, 2025