WIP DFT
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examples/gemma3/gemma-3-1b-fft-dft.yml
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55
examples/gemma3/gemma-3-1b-fft-dft.yml
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base_model: google/gemma-3-1b-it
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model_type: Gemma3ForCausalLM
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cls_model_config: Gemma3TextConfig
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# gemma3 doesn't seem to play nice with ddp
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ddp_find_unused_parameters: true
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chat_template: gemma3
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eot_tokens:
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- <end_of_turn>
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datasets:
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- path: cgato/SlimOrcaDedupCleaned
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type: chat_template
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field_messages: conversations
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message_property_mappings:
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role: from
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content: value
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val_set_size: 0.05
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output_dir: ./outputs/gemma-3-1b-fft-dft
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sequence_len: 2048
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sample_packing: true
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# Enable Dynamic Fine-Tuning loss
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use_dynamic_finetuning: true
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wandb_project:
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wandb_entity:
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wandb_watch:
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wandb_name:
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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: 1
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optimizer: adamw_torch_fused
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lr_scheduler: cosine
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learning_rate: 5e-5
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bf16: auto
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tf32: true
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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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resume_from_checkpoint:
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logging_steps: 1
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flash_attention: true
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warmup_ratio: 0.1
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evals_per_epoch: 2
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saves_per_epoch: 1
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weight_decay: 0.0
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