| base_model: cerebras/btlm-3b-8k-base | |
| model_type: AutoModelForCausalLM | |
| tokenizer_type: GPT2Tokenizer | |
| trust_remote_code: true | |
| tokenizer_use_fast: true | |
| tokenizer_legacy: true | |
| load_in_8bit: false | |
| load_in_4bit: false | |
| strict: false | |
| push_dataset_to_hub: | |
| hf_use_auth_token: true | |
| datasets: | |
| - path: mhenrichsen/alpaca_2k_test | |
| type: alpaca | |
| dataset_prepared_path: last_prepared_run | |
| val_set_size: 0.05 | |
| adapter: | |
| lora_model_dir: | |
| sequence_len: 2048 | |
| max_packed_sequence_len: | |
| sample_packing: false | |
| sample_packing_eff_est: | |
| sample_packing_seq_len_multiplier: | |
| total_num_tokens: | |
| lora_r: | |
| lora_alpha: | |
| lora_dropout: | |
| lora_target_modules: | |
| lora_target_linear: | |
| lora_fan_in_fan_out: | |
| wandb_project: | |
| wandb_entity: | |
| wandb_watch: | |
| wandb_name: | |
| wandb_log_model: | |
| output_dir: btlm-out | |
| gradient_accumulation_steps: 1 | |
| micro_batch_size: 1 | |
| num_epochs: 1 | |
| optimizer: adamw_torch | |
| adam_beta2: 0.95 | |
| adam_eps: 0.000000001 | |
| max_grad_norm: 1.0 | |
| torchdistx_path: | |
| lr_scheduler: cosine | |
| lr_quadratic_warmup: true | |
| learning_rate: 0.000085 | |
| train_on_inputs: true | |
| group_by_length: false | |
| bf16: auto | |
| fp16: | |
| tf32: true | |
| gradient_checkpointing: false | |
| early_stopping_patience: | |
| resume_from_checkpoint: | |
| local_rank: | |
| logging_steps: 1 | |
| xformers_attention: | |
| flash_attention: true | |
| sdp_attention: | |
| flash_optimum: | |
| gptq_groupsize: | |
| gptq_model_v1: | |
| warmup_steps: 32 | |
| evals_per_epoch: 4 | |
| saves_per_epoch: 1 | |
| save_total_limit: | |
| debug: | |
| deepspeed: | |
| weight_decay: 0.1 | |
| special_tokens: | |
| pad_token: "<|endoftext|>" | |
| fsdp: | |
| # - full_shard | |
| # - auto_wrap | |
| fsdp_config: | |
| # fsdp_state_dict_type: FULL_STATE_DICT | |
| # fsdp_transformer_layer_cls_to_wrap: BTLMBlock | |