| base_model: codellama/CodeLlama-7b-hf | |
| base_model_config: codellama/CodeLlama-7b-hf | |
| model_type: LlamaForCausalLM | |
| tokenizer_type: CodeLlamaTokenizer | |
| load_in_8bit: false | |
| load_in_4bit: true | |
| strict: false | |
| datasets: | |
| - path: /home/interstellarninja/projects/axolotl/dataset/gorilla-16k.json | |
| type: alpaca | |
| dataset_prepared_path: last_run_prepared | |
| val_set_size: 0.05 | |
| output_dir: ./qlora-out | |
| adapter: qlora | |
| lora_model_dir: | |
| sequence_len: 2048 | |
| max_packed_sequence_len: | |
| lora_r: 64 | |
| lora_alpha: 16 | |
| lora_dropout: 0.00 | |
| lora_target_modules: | |
| - gate_proj | |
| - down_proj | |
| - up_proj | |
| - q_proj | |
| - v_proj | |
| - k_proj | |
| - o_proj | |
| lora_target_linear: true | |
| lora_fan_in_fan_out: | |
| wandb_project: llama-2-toolformer | |
| wandb_watch: | |
| wandb_log_model: | |
| data_seed: 42 | |
| seed: 42 | |
| gradient_accumulation_steps: 4 | |
| micro_batch_size: 4 | |
| num_epochs: 1 | |
| optimizer: adamw_bnb_8bit | |
| lr_scheduler: constant_with_warmup | |
| learning_rate: 0.00002 | |
| train_on_inputs: false | |
| group_by_length: false | |
| bf16: true | |
| fp16: false | |
| tf32: false | |
| gradient_checkpointing: true | |
| early_stopping_patience: 5 | |
| resume_from_checkpoint: | |
| local_rank: | |
| logging_steps: 1 | |
| xformers_attention: false | |
| flash_attention: true | |
| eval_steps: 200 | |
| save_steps: 200 | |
| save_total_limit: 5 | |
| load_best_model_at_end: true | |
| greater_is_better: false | |
| metric_for_best_model: eval_loss | |
| do_mmlu_eval: true | |
| debug: | |
| deepspeed: | |
| weight_decay: 0.0 | |
| fsdp: | |
| fsdp_config: | |
| special_tokens: | |
| bos_token: "<s>" | |
| eos_token: "</s>" | |
| unk_token: "<unk>" | |