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+ ---
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+ tags:
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+ - text-generation
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+ library_name: transformers
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+ ---
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+
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+ ## Model description
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+ Dalio Bot Pre-trained on Principles, fine-tuned on handwritten examples.
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+ Pre-trained model: Jellywibble/dalio-pretrained-book-bs4-seed1 (based-off OPT30B)
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+ Fine-tuning dataset: Jellywibble/dalio_handwritten-conversations
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+
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+ ## Model Parameters
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+ -base_mode_name Jellywibble/dalio-pretrained-book-bs4-seed1
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+ -dataset_name Jellywibble/dalio_handwritten-conversations
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+ -block size 500
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+ -per_device_train_batch_size 1
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+ -gradient_accumulation steps 1
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+ -learning_rate 2e-6
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+ -seed 28
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+ -validation split percentage 20
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+ -hellaswag_sample_size 100
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+
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+ ## Metrics
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+ - Hellaswag Perplexity: 29.9
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+ - Eval acc: 57.1%
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+ - Eval loss: 1.971
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+ - wandb: https://wandb.ai/jellywibble/huggingface/runs/12lgyt20?workspace=user-jellywibble