adapter: lora base_model: NousResearch/Meta-Llama-3-8B-Alternate-Tokenizer batch_size: 64 bf16: true chat_template: tokenizer_default_fallback_alpaca datasets: - format: custom path: https://gradients.s3.eu-north-1.amazonaws.com/1ae63171fbf66651_train_data.json?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVVZOOA7SA4UOFLPI%2F20250210%2Feu-north-1%2Fs3%2Faws4_request&X-Amz-Date=20250210T120931Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=bbe3efc2d3663c793088c33c43c09e6fbc67e548bccdd8400f529787d50520a6 type: field_input: headline_a field_instruction: rendered_input field_output: headline_b format: '{instruction} {input}' no_input_format: '{instruction}' system_format: '{system}' system_prompt: '' device_map: auto eval_sample_packing: false eval_steps: 0.1 flash_attention: true gradient_checkpointing: true group_by_length: true hub_model_id: SystemAdmin123/ce7a539a-b639-41f4-8114-4dc65059452a hub_strategy: checkpoint learning_rate: 0.0001 logging_steps: 10 lora_alpha: 256 lora_dropout: 0.1 lora_r: 128 lora_target_linear: true lr_scheduler: cosine max_steps: 8000 micro_batch_size: 1 model_type: AutoModelForCausalLM num_epochs: 10000 optimizer: adamw_bnb_8bit output_dir: /root/.sn56/axolotl/tmp/ce7a539a-b639-41f4-8114-4dc65059452a pad_to_sequence_len: true resize_token_embeddings_to_32x: false sample_packing: true save_steps: 40 save_total_limit: 1 sequence_len: 2048 tokenizer_type: PreTrainedTokenizerFast torch_dtype: bf16 training_args_kwargs: disable_tqdm: true hub_private_repo: true save_only_model: true trust_remote_code: true val_set_size: 0.01 wandb_entity: '' wandb_mode: online wandb_name: NousResearch/Meta-Llama-3-8B-Alternate-Tokenizer-https://gradients.s3.eu-north-1.amazonaws.com/1ae63171fbf66651_train_data.json?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVVZOOA7SA4UOFLPI%2F20250210%2Feu-north-1%2Fs3%2Faws4_request&X-Amz-Date=20250210T120931Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=bbe3efc2d3663c793088c33c43c09e6fbc67e548bccdd8400f529787d50520a6 wandb_project: Gradients-On-Demand wandb_run: your_name wandb_runid: default warmup_ratio: 0.05