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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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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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