chargoddard
commited on
Commit
•
fde04db
1
Parent(s):
91877d6
Create axolotl_config.yml
Browse files- axolotl_config.yml +91 -0
axolotl_config.yml
ADDED
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base_model: mistralai/Mixtral-8x7B-v0.1
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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model_config:
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output_router_logits: true
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router_aux_loss_coef: 0.02
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router_z_loss_coef: 0.001
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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: /workspace/data/rpguild-grammar-filtered.jsonl
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type: rp_forum
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shards: 4
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- path: /workspace/limaerp-8192.jsonl
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type: rp_forum
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repeats: 2
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- path: /workspace/data/no-robots-rp.jsonl
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type: pippa
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- path: Open-Orca/SlimOrca
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type: sharegpt
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shards: 15
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- path: chargoddard/summarize_from_feedback_alpaca
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type: alpaca
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shards: 14
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- path: chargoddard/coedit-reworded
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type: alpaca
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shards: 14
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prompt_format: economic_rp
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.04
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output_dir: ./mixtral-lora
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save_safetensors: true
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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: true
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pad_to_sequence_len: true
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lora_r: 128
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lora_alpha: 256
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lora_dropout: 0.05
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lora_target_linear: true
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lora_fan_in_fan_out:
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# lora_target_modules:
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wandb_project: mixtral-lora
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wandb_entity:
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wandb_watch:
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wandb_run_id:
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wandb_log_model:
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gradient_accumulation_steps: 16
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micro_batch_size: 2
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eval_batch_size: 2
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num_epochs: 1
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optimizer: adamw_bnb_8bit
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lr_scheduler: cosine
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learning_rate: 0.00025
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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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fp16: false
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tf32: false
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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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auto_resume_from_checkpoints: true
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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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save_total_limit: 2
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warmup_steps: 10
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eval_steps: 0.05
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save_steps: 0.05
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eval_table_size:
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eval_table_max_new_tokens: 128
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weight_decay: 0.0
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special_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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