dd9ebaeba1
* wip eaft * fix eaft loss fn * adding ref --------- Co-authored-by: Salman Mohammadi <“salman.mohammadi@outlook.com”>
78 lines
1.2 KiB
YAML
78 lines
1.2 KiB
YAML
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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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: 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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dataset_prepared_path:
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val_set_size: 0
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output_dir: ./outputs/eaft-gemma-3-1b
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use_eaft: true
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eaft_alpha: 1.0
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eaft_k: 20
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sequence_len: 1024
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sample_packing: false
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adapter:
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lora_model_dir:
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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: 1
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eval_batch_size: 1
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max_steps: 1000
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evaluation_strategy: "no"
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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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train_on_inputs: false
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group_by_length: false
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bf16: auto
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fp16:
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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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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_ratio: 0.1
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weight_decay: 0.0
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debug:
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deepspeed:
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fsdp:
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fsdp_config:
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special_tokens:
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