Model description

Dalio Bot Pre-trained on Principles, fine-tuned on handwritten examples.

Pre-trained model: Jellywibble/dalio-pretrained-book-bs4-seed1 (based-off OPT30B)

Fine-tuning dataset: Jellywibble/dalio_handwritten-conversations

Model Parameters

• 4xA40 (eff. batch size = 4)
• base_mode_name Jellywibble/dalio-pretrained-book-bs4-seed1
• dataset_name Jellywibble/dalio_handwritten-conversations
• block size 500
• per_device_train_batch_size 1
• gradient_accumulation steps 1
• learning_rate 2e-6
• seed 28
• validation split percentage 20
• hellaswag_sample_size 100

Metrics

• Hellaswag Perplexity: 29.9
• Eval acc: 57.1%
• Eval loss: 1.971
• wandb: https://wandb.ai/jellywibble/huggingface/runs/12lgyt20?workspace=user-jellywibble
• Checkpoint 10 selected and uploaded