64 lines
1.1 KiB
YAML
64 lines
1.1 KiB
YAML
base_model: mistralai/Mistral-7B-v0.1
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model_type: MistralForCausalLM
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tokenizer_type: LlamaTokenizer
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is_mistral_derived_model: true
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multimodal: true
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vision_tower: openai/clip-vit-large-patch14
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tune_mm_mlp_adapter: true
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mm_vision_select_layer: -2
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mm_projector_type: mlp2x_gelu
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mm_image_folder: ./llava/
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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datasets:
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- path: liuhaotian/LLaVA-CC3M-Pretrain-595K
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dataset_prepared_path:
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val_set_size: 0.01
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output_dir: ./out
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sequence_len: 2048
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sample_packing: true
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pad_to_sequence_len: true
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wandb_project:
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wandb_entity:
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wandb_watch:
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wandb_run_id:
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wandb_log_model:
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gradient_accumulation_steps: 4
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micro_batch_size: 2
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num_epochs: 4
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optimizer: adamw_bnb_8bit
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lr_scheduler: cosine
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learning_rate: 0.002
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train_on_inputs: false
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group_by_length: false
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bf16: true
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fp16: false
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tf32: false
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gradient_checkpointing: true
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early_stopping_patience:
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resume_from_checkpoint:
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local_rank:
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logging_steps: 1
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xformers_attention:
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flash_attention: true
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warmup_steps: 10
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eval_steps: 0.05
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save_steps:
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debug:
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deepspeed:
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weight_decay: 0.0
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fsdp:
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fsdp_config:
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special_tokens:
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pad_token: "<unk>"
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