| base_model: mistralai/Mistral-7B-v0.1 | |
| model_type: MistralForCausalLM | |
| tokenizer_type: LlamaTokenizer | |
| is_mistral_derived_model: true | |
| # multimodal pretrain | |
| multimodal: true | |
| mm_vision_tower: openai/clip-vit-large-patch14 | |
| tune_mm_mlp_adapter: true | |
| mm_freeze_backbone: true | |
| mm_vision_select_layer: -2 | |
| mm_projector_type: mlp2x_gelu | |
| mm_image_folder: ./llava/ | |
| mm_use_im_patch_token: false | |
| load_in_8bit: false | |
| load_in_4bit: false | |
| strict: false | |
| datasets: | |
| - path: ./data/blip_laion_cc_sbu_558k.json | |
| dataset_prepared_path: | |
| val_set_size: 0.0 | |
| output_dir: ./out | |
| sequence_len: 2048 | |
| sample_packing: false | |
| pad_to_sequence_len: true | |
| wandb_project: axolotl-llava | |
| wandb_entity: oaaic | |
| wandb_watch: | |
| wandb_run_id: | |
| wandb_log_model: | |
| gradient_accumulation_steps: 2 | |
| micro_batch_size: 64 | |
| num_epochs: 1 | |
| optimizer: adamw_torch | |
| lr_scheduler: cosine | |
| learning_rate: 0.002 | |
| 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 | |
| eval_steps: | |
| save_steps: 0.1 | |
| debug: | |
| deepspeed: deepspeed/zero2.json | |
| weight_decay: 0.0 | |
| fsdp: | |
| fsdp_config: | |
| special_tokens: | |
| pad_token: "<unk>" | |