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