| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: sophiargh/MNLP_M3_mcqa_model |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: MNLP_M3_rag_model_v4 |
| | 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_rag_model_v4 |
| |
|
| | This model is a fine-tuned version of [sophiargh/MNLP_M3_mcqa_model](https://huggingface.co/sophiargh/MNLP_M3_mcqa_model) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.8707 |
| |
|
| | ## 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 | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 0.7279 | 0.0228 | 100 | 0.8089 | |
| | | 0.7328 | 0.0456 | 200 | 0.7907 | |
| | | 0.584 | 0.0683 | 300 | 0.8175 | |
| | | 0.6671 | 0.0911 | 400 | 0.8707 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.52.3 |
| | - Pytorch 2.7.0+cu126 |
| | - Datasets 3.2.0 |
| | - Tokenizers 0.21.0 |
| |
|
