prm_math-l5_only

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prm_conversations_math-l5-train-full-ref-mix_gpt-4o-mini_rm_best_of_16_with_ref_with_hint_all_full_solution_as_ref

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the prm_conversations_math-l5-train-full-ref-mix_gpt-4o-mini_rm_best_of_16_with_ref_with_hint_all_full_solution_as_ref dataset. It achieves the following results on the evaluation set:

• Loss: 0.1171

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: 5e-06
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• total_eval_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 1

Training results

Framework versions

• Transformers 4.43.4
• Pytorch 2.4.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1