67 lines
1.4 KiB
YAML
67 lines
1.4 KiB
YAML
base_model: huggyllama/llama-13b
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base_model_config: huggyllama/llama-13b
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model_type: LlamaForCausalLM
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tokenizer_type: LlamaTokenizer
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load_in_8bit: false
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datasets:
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- path: anon8231489123/ShareGPT_Vicuna_unfiltered
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data_files: ShareGPT_V3_unfiltered_cleaned_split_no_imsorry.json
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type: sharegpt
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- path: ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
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type: alpaca
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- path: ehartford/wizard_vicuna_70k_unfiltered
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type: sharegpt
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.02
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adapter:
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lora_model_dir:
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sequence_len: 2048
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max_packed_sequence_len: 2048
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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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- q_proj
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- v_proj
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lora_fan_in_fan_out: false
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wandb_project: wizard-mega-13b
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wandb_watch:
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wandb_run_id:
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wandb_log_model:
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output_dir: ./wizard-mega-13b
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batch_size: 512
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micro_batch_size: 8
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num_epochs: 3
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optimizer:
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torchdistx_path:
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lr_scheduler:
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learning_rate: 0.00006
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train_on_inputs: false
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group_by_length: false
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bf16: true
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tf32: true
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gradient_checkpointing: true
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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: true
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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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eval_steps: 10
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save_steps:
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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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- full_shard
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- auto_wrap
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fsdp_config:
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fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer
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tokens:
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bos_token: "<s>"
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eos_token: "</s>"
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unk_token: "<unk>"
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