jnsffrt/instruct_mcq_contrastive_full_answer_no_rationale

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instruct_contrastive

This model is a fine-tuned version of jnsffrt/instruct_open_answer on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: -13.6334

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: 4
• —evalbatchsize: 4
• —seed: 552
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 16
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.05
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.52.3
• —Pytorch 2.7.0+cu126
• —Datasets 3.6.0
• —Tokenizers 0.21.1