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adapter: lora
base_model: unsloth/Llama-3.2-1B
batch_size: 64
bf16: true
chat_template: tokenizer_default_fallback_alpaca
datasets:
- format: custom
  path: https://gradients.s3.eu-north-1.amazonaws.com/37b65deb5f15ae94_train_data.json?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVVZOOA7SA4UOFLPI%2F20250210%2Feu-north-1%2Fs3%2Faws4_request&X-Amz-Date=20250210T082334Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=c5b956029ddb19f311e76baf6b3eee53d08ed45cbdd0665f469cbd4260e1c682
  type:
    field_input: system_prompt
    field_instruction: input
    field_output: reference_answer
    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: SystemAdmin123/5bb3ac96-1bdd-40b2-b9c7-cab2feb2b4fa
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: 1600
micro_batch_size: 5
model_type: AutoModelForCausalLM
num_epochs: 10000
optimizer: adamw_bnb_8bit
output_dir: /root/.sn56/axolotl/tmp/5bb3ac96-1bdd-40b2-b9c7-cab2feb2b4fa
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: unsloth/Llama-3.2-1B-https://gradients.s3.eu-north-1.amazonaws.com/37b65deb5f15ae94_train_data.json?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAVVZOOA7SA4UOFLPI%2F20250210%2Feu-north-1%2Fs3%2Faws4_request&X-Amz-Date=20250210T082334Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=c5b956029ddb19f311e76baf6b3eee53d08ed45cbdd0665f469cbd4260e1c682
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: default
warmup_ratio: 0.05