taddeusb90
commited on
Commit
•
eb14661
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Parent(s):
b97ea23
Upload 3 files
Browse files- adapter/adapter_config.json +34 -0
- adapter/adapter_model.safetensors +3 -0
- axolotl/training.yaml +91 -0
adapter/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
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"bias": "none",
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"fan_in_fan_out": null,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"down_proj",
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"o_proj",
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"up_proj",
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"gate_proj",
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"k_proj",
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b6e200a8e6d5127eeea2ebca01bcf1314b8312dc4bed280fcf3b19f4c12def93
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size 83946192
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axolotl/training.yaml
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base_model: meta-llama/Meta-Llama-3-8B-Instruct
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model_type: LlamaForCausalLM
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tokenizer_type: AutoTokenizer # PreTrainedTokenizerFast
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load_in_8bit: false
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load_in_4bit: true
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strict: false
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datasets:
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- path: taddeusb90/finbro-v0.1.0
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type: alpaca
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.01
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output_dir: ./out/finbro-v0.1.0-llama-3-8B-instruct-4bit-1m-POSE
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adapter: qlora
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lora_model_dir:
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sequence_len: 8192
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sample_packing: false
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pad_to_sequence_len: true
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lora_r: 16
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lora_alpha: 32
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lora_dropout: 0.05
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lora_target_modules:
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lora_target_linear: true
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lora_fan_in_fan_out:
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wandb_project: finbro-v0.1.0-llama-3-8B-instruct-4bit-1m-POSE
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wandb_entity: sigmance
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wandb_watch: "true"
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wandb_name: finbro-v0.1.0-llama-3-8B-instruct-4bit-1m-POSE
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wandb_log_model: "true"
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use_pose: true
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pose_max_context_len: 1048576
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overrides_of_model_config:
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rope_theta: 500000.0
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max_position_embeddings: 1048576
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rope_scaling:
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gradient_accumulation_steps: 4
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micro_batch_size: 1
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num_epochs: 4
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optimizer: adamw_torch
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lr_scheduler: cosine
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learning_rate: 0.0002
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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: false
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: true
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early_stopping_patience: 50
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resume_from_checkpoint: ./out/finbro-v0.1.0-llama-3-8B-instruct-4bit-1m-POSE/checkpoint-4800
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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_steps: 1
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save_steps: 100
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eval_steps: 100
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# evals_per_epoch: 4
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eval_table_size:
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# saves_per_epoch: 1
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debug:
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deepspeed:
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weight_decay: 0.0
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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_limit_all_gathers: true
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fsdp_sync_module_states: true
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fsdp_offload_params: true
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fsdp_use_orig_params: false
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fsdp_cpu_ram_efficient_loading: true
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fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
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fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer
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fsdp_state_dict_type: FULL_STATE_DICT
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fsdp_sharding_strategy: FULL_SHARD
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special_tokens:
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pad_token: <|end_of_text|>
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