readme: ---
  tags:
  - text-generation
  library_name: transformers
  ---
  
  ## Model description
  Based off facebook/opt-30b model, finetuned on chucked Dalio responses
  
  ## Dataset Used
  Jellywibble/dalio-pretrain-book-dataset-v2
  
  ## Training Parameters
  - Deepspeed on 4xA40 GPUs
  - Ensuring EOS token `<s>` appears only at the beginning of each chunk
  - Gradient Accumulation steps = 1 (Effective batch size of 4)
  - 3e-6 Learning Rate, AdamW optimizer
  - Block size of 800
  - Trained for 1 Epoch (additional epochs yielded worse Hellaswag result)
  
  ## Metrics
  - Hellaswag Perplexity: 30.2
  - Eval accuracy: 49.8%
  - Eval loss: 2.283
  - Checkpoint 16 uploaded
  - wandb run: https://wandb.ai/jellywibble/huggingface/runs/2vtr39rk?workspace=user-jellywibble