| base_model: mistral-community/Mixtral-8x22B-v0.1 | |
| model_type: AutoModelForCausalLM | |
| tokenizer_type: LlamaTokenizer | |
| trust_remote_code: true | |
| load_in_8bit: false | |
| load_in_4bit: false | |
| strict: false | |
| unfrozen_parameters: | |
| - ^lm_head.weight$ | |
| - ^model.embed_tokens.weight$ | |
| - model.layers.4[4-9]+.block_sparse_moe.gate | |
| - model.layers.4[4-9]+.block_sparse_moe.experts | |
| - model.layers.5[0-5]+.block_sparse_moe.gate | |
| - model.layers.5[0-5]+.block_sparse_moe.experts | |
| model_config: | |
| output_router_logits: true | |
| datasets: | |
| - path: tatsu-lab/alpaca | |
| type: alpaca | |
| dataset_prepared_path: last_run_prepared | |
| val_set_size: 0.05 | |
| output_dir: ./outputs/out | |
| sequence_len: 2048 | |
| sample_packing: true | |
| pad_to_sequence_len: true | |
| gradient_accumulation_steps: 1 | |
| micro_batch_size: 1 | |
| num_epochs: 3 | |
| optimizer: adamw_bnb_8bit | |
| lr_scheduler: cosine | |
| learning_rate: 0.0001 | |
| train_on_inputs: false | |
| group_by_length: false | |
| bf16: auto | |
| fp16: | |
| tf32: false | |
| gradient_checkpointing: true | |
| early_stopping_patience: | |
| resume_from_checkpoint: | |
| local_rank: | |
| logging_steps: 1 | |
| xformers_attention: | |
| flash_attention: true | |
| save_total_limit: 1 | |
| save_steps: | |
| debug: | |
| deepspeed: deepspeed_configs/zero3_bf16_cpuoffload_params.json | |
| weight_decay: 0.0 | |
| fsdp: | |
| fsdp_config: | |
| special_tokens: | |
| eos_token: "<|im_end|>" | |
| tokens: | |
| - "<|im_start|>" | |