400STEPS_01beta_1e7_DPO_Meditron7B_zeroshot

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500STEPS_01beta_DPO_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
• eval_samples_per_second: 1.386
• eval_steps_per_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
• train_batch_size: 4
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 100
• training_steps: 500

Framework versions

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