tsavage68/400STEPS_01beta_1e7_DPO_Meditron7B_zeroshot

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500STEPS01betaDPO_Meditron7B

This model is a fine-tuned version of epfl-llm/meditron-7b on an unknown dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.6910
• —eval_runtime: 328.325
• —evalsamplesper_second: 1.386
• —evalstepsper_second: 1.386
• —eval_rewards/chosen: 0.0001
• —eval_rewards/rejected: -0.0042
• —eval_rewards/accuracies: 0.5121
• —eval_rewards/margins: 0.0044
• —eval_logps/rejected: -27.8358
• —eval_logps/chosen: -26.4800
• —eval_logits/rejected: -0.6115
• —eval_logits/chosen: -0.6114
• —epoch: 0.78
• —step: 400

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-07
• —trainbatchsize: 4
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 8
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 100
• —training_steps: 500

Framework versions

• —Transformers 4.37.2
• —Pytorch 2.0.0+cu117
• —Datasets 2.17.0
• —Tokenizers 0.15.1