119 lines
3.1 KiB
YAML
119 lines
3.1 KiB
YAML
base_model: unsloth/Phi-3-medium-4k-instruct
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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trust_remote_code: true
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# load_in_8bit: true
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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/datasets/dolphin-2.9.2/dolphin201-sharegpt2.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.2/dolphin-coder-codegen-sharegpt2.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.2/dolphin-coder-translate-sharegpt2.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.2/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.2/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.2/not_samantha_norefusals.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.2/openhermes200k_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.2/Orca-Math-resort-unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.2/SystemChat_sharegpt.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.2/toolbench_instruct_j1s1_3k_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.2/toolbench_negative_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.2/toolbench_react_10p_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.2/toolbench_tflan_cot_30p_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9.2/agent_instruct_react_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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chat_template: chatml
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dataset_prepared_path: phi-14-data
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val_set_size: 0.01
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output_dir: phi-14
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sequence_len: 4096 # supports up to 8192
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sample_packing: true
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pad_to_sequence_len: true
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adapter: qlora
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lora_model_dir:
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lora_r: 32
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lora_alpha: 16
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lora_dropout: 0.05
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lora_modules_to_save: [embed_tokens, lm_head]
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lora_target_linear: true
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lora_fan_in_fan_out:
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wandb_project: Phi-3-14b
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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: 4
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micro_batch_size: 4
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num_epochs: 3
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optimizer: adamw_torch_fused
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lr_scheduler: cosine
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learning_rate: 4e-4
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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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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:
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flash_attention: true
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warmup_steps: 10
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# evals_per_epoch: 2
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# eval_table_size:
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# eval_max_new_tokens: 128
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saves_per_epoch: 2
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save_total_limit: 1
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debug:
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deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json
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weight_decay: 0.1
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fsdp:
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fsdp_config:
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special_tokens:
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pad_token: "<|placeholder6|>"
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eos_token: "<|im_end|>"
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bos_token: "<s>"
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unk_token: "<unk>"
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tokens:
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- <|im_start|>
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