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Model: lu-vae/llama-68m-fft Source: Original Platform
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axo.yaml
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70
axo.yaml
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base_model: JackFram/llama-68m
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model_type: LlamaForCausalLM
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tokenizer_type: AutoTokenizer
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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datasets:
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- path: /data/data/final_set_cleaned/train/
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type: sharegpt
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conversation: chatml
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- path: /data/data/map_coig_cqia.jsonl
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type: sharegpt
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conversation: chatml
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- path: /data/data/ruozhiba.jsonl
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type: sharegpt
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conversation: chatml
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dataset_prepared_path: last_run_prepared
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val_set_size: 0
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output_dir: ./out
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sequence_len: 4096
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sample_packing: true
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pad_to_sequence_len: true
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wandb_project:
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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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gradient_accumulation_steps: 8
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micro_batch_size: 4
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num_epochs: 2
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optimizer: paged_adamw_8bit
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lr_scheduler: cosine
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learning_rate: 2e-5
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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: false
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early_stopping_patience:
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resume_from_checkpoint:
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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: 100
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evals_per_epoch: 0
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eval_table_size:
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saves_per_epoch: 4
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debug:
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deepspeed: deepspeed/zero2.json
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weight_decay: 0.0
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fsdp:
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fsdp_config:
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default_system_message: "You are a helpful assistant."
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special_tokens:
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eos_token: "<|im_end|>"
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pad_token: "<|end_of_text|>"
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tokens:
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- "<|im_start|>"
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- "<|im_end|>"
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