54 lines
988 B
YAML
54 lines
988 B
YAML
base_model: zai-org/GLM-4.6V-Flash
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trust_remote_code: true
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processor_type: AutoProcessor
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load_in_4bit: true
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# these 3 lines are needed for now to handle vision chat templates w images
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skip_prepare_dataset: true
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remove_unused_columns: false
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sample_packing: false
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ddp_find_unused_parameters: true
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output_dir: ./outputs/glm-4-6v-flash-qlora
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datasets:
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- path: HuggingFaceH4/llava-instruct-mix-vsft
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type: chat_template
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split: train[:1%]
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adapter: qlora
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lora_r: 16
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lora_alpha: 32
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lora_dropout: 0.05
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lora_target_modules:
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- gate_proj
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- down_proj
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- up_proj
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- q_proj
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- v_proj
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- k_proj
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- o_proj
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sequence_len: 2048
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gradient_accumulation_steps: 4
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micro_batch_size: 1
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num_epochs: 1
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optimizer: adamw_8bit
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lr_scheduler: cosine
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learning_rate: 0.0002
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bf16: auto
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tf32: false
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: false
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logging_steps: 1
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attn_implementation: sdpa
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warmup_ratio: 0.1
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evals_per_epoch: 0
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saves_per_epoch: 1
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weight_decay: 0.0
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