84 lines
1.2 KiB
YAML
84 lines
1.2 KiB
YAML
weights_format: sft
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models:
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- name: "classifier"
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tokens: 0
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len: 6
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dim: 512
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resnet: 34
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#loras:
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#- name : "lora"
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# rank: 128
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# alpha: 128
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# training: True
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# rvq_levels: []
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hyperparameters:
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batch_size: 256
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gradient_accumulation_steps: 1
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gradient_clipping: 1.0
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warmup_steps: 10
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optimizer: Prodigy
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learning_rate: 1.0
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torch_optimizer: True
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scheduler: "" # ScheduleFree
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torch_scheduler: True
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evaluation:
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batch_size: 64
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frequency: 100
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size: 64
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steps: 450
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temperature: 0.0
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trainer:
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iterations: 1_000_000
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save_frequency: 100
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keep_last_checkpoints: 32
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check_for_oom: False
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gradient_checkpointing: True
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weight_dtype: bfloat16
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amp: True
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backend: deepspeed
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deepspeed:
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inferencing: False
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amp: False
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inference:
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backend: local
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weight_dtype: bfloat16
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amp: True
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optimizations:
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injects: False
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replace: True
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linear: False
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embedding: False
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optimizers: True
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bitsandbytes: False
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dadaptation: False
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bitnet: False
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fp8: False
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dataset:
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use_hdf5: True
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hdf5_flag: r
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workers: 1
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cache: True
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training: [
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"./data/images/"
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]
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validation: [
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"./data/validation/"
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] |