| base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 | |
| model_type: LlamaForCausalLM | |
| tokenizer_type: LlamaTokenizer | |
| is_llama_derived_model: true | |
| load_in_8bit: false | |
| load_in_4bit: false | |
| strict: false | |
| max_steps: 200 | |
| pretraining_dataset: | |
| path: c4 | |
| name: en | |
| dataset_prepared_path: | |
| val_set_size: 0.0 | |
| output_dir: ./model-out | |
| sequence_len: 2048 | |
| sample_packing: true | |
| wandb_project: | |
| wandb_entity: | |
| wandb_watch: | |
| wandb_name: | |
| wandb_log_model: | |
| gradient_accumulation_steps: 4 | |
| micro_batch_size: 2 | |
| num_epochs: 4 | |
| optimizer: adamw_bnb_8bit | |
| lr_scheduler: cosine | |
| learning_rate: 0.0002 | |
| train_on_inputs: false | |
| group_by_length: false | |
| bf16: true | |
| fp16: false | |
| tf32: false | |
| gradient_checkpointing: true | |
| early_stopping_patience: | |
| resume_from_checkpoint: | |
| local_rank: | |
| logging_steps: 1 | |
| xformers_attention: | |
| flash_attention: true | |
| warmup_steps: 10 | |
| evals_per_epoch: | |
| eval_table_size: | |
| saves_per_epoch: 1 | |
| debug: | |
| deepspeed: | |
| weight_decay: 0.0 | |
| fsdp: | |
| fsdp_config: | |
| special_tokens: | |