59 lines
1.0 KiB
YAML
59 lines
1.0 KiB
YAML
base_model: replit/replit-code-v1-3b
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# Automatically upload checkpoint and final model to HF
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# hub_model_id: username/custom_model_name
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trust_remote_code: true
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load_in_8bit: false
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datasets:
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- path: vicgalle/alpaca-gpt4
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type: alpaca
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dataset_prepared_path:
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val_set_size: 0.05
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adapter: lora
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lora_model_dir:
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sequence_len: 2048
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max_packed_sequence_len:
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lora_r: 8
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lora_alpha: 16
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lora_dropout: 0.05
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lora_target_modules:
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- Wqkv
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- mlp_up
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- mlp_down
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lora_fan_in_fan_out:
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wandb_project: lora-replit
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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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output_dir: ./outputs/lora-replit
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batch_size: 8
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micro_batch_size: 1
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num_epochs: 4
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optimizer:
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torchdistx_path:
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lr_scheduler:
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learning_rate: 0.00001
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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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tf32: true
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gradient_checkpointing:
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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:
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gptq_groupsize:
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gptq_model_v1:
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warmup_steps: 20
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evals_per_epoch: 4
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saves_per_epoch: 1
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debug:
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deepspeed:
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weight_decay: 0
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fsdp:
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fsdp_config:
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#special_tokens:
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