aymanbakiri/MNLP_M3_mcqa_dpo_model

<!-- 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. -->

MNLPM3mcqadpomodel

This model is a fine-tuned version of AnnaelleMyriam/MNLP_M3_sft_dpo_1024_beta0.5_2e-5_FINAL_v3_16_check1500 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3494

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
• —trainbatchsize: 2
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 8
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.03
• —num_epochs: 3

Training results

Framework versions

• —PEFT 0.15.2
• —Transformers 4.52.4
• —Pytorch 2.7.1+cu126
• —Datasets 3.6.0
• —Tokenizers 0.21.1