metadata
library_name: transformers
base_model: Portgas37/MNLP_M2_rag_model
tags:
- generated_from_trainer
datasets:
- hotpot_qa
model-index:
- name: MNLP_M3_rag_model
results: []
MNLP_M3_rag_model
This model is a fine-tuned version of Portgas37/MNLP_M2_rag_model on the hotpot_qa dataset.
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.52.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1