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MNLP_M3_rag_model
cam-1000/MNLP_M3_rag_model
MNLP_M3_rag_model is a text generation model from cam-1000. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- qwen3
- Access
- Public
- Created
- Jun 2, 2025
- Updated
- Jun 10, 2025
- SHA
- 303b73ed
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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_rag_model
This model is a fine-tuned version of cam-1000/MNLP_M3_mcqa_model on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8564
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 |
|---|---|---|---|
| 0.8275 | 0.0228 | 100 | 0.8105 |
| 0.7663 | 0.0456 | 200 | 0.8251 |
| 0.5896 | 0.0683 | 300 | 0.8564 |
Framework versions
- Transformers 4.52.3
- Pytorch 2.7.0+cu126
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- Created
- Jun 2, 2025
- Updated
- Jun 10, 2025