PeiYangMe-0.4 / sft_args.json
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{
"model_type": "yi-1_5-6b-chat",
"model_id_or_path": "MixModel4",
"model_revision": "master",
"model_layer_cls_name": null,
"sft_type": "full",
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"seed": 0,
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"dtype": "fp16",
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"/data/home/wusc/CatalGPT/SupervisedFineTuning/PDH_QAPairFromARG_English1985.csv",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/PDH_QAPairFromARG_Chinese1985.csv",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/BackgroundKnowledgeQAPairs51790.csv",
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"/data/home/wusc/CatalGPT/SupervisedFineTuning/gaokao-benchmark/english.csv",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/gaokao-benchmark/geography.csv",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/gaokao-benchmark/mathcloze.csv",
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"/data/home/wusc/CatalGPT/SupervisedFineTuning/gaokao-benchmark/MultiChoices.csv",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/gaokao-benchmark/physics.csv",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/CSL396209.csv",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/scimrc21297.csv",
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"/data/home/wusc/CatalGPT/SupervisedFineTuning/physical_reasoning/physical_reasoning.csv",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/physical_reasoning/physical_reasoning_longer.csv",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/physical_reasoning/physical_reasoning_magic.csv",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/race/race_high_test-00000-of-00001.csv",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/race/race_high_train-00000-of-00001.csv",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/race/race_high_validation-00000-of-00001.csv",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/race/race_middle_test-00000-of-00001.csv",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/race/race_middle_train-00000-of-00001.csv",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/race/race_middle_validation-00000-of-00001.csv",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/Smaug/SystemConversationsTransformed.jsonl",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/Smaug/WikiQA-Altered_Numeric_QA_16K.jsonl",
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"/data/home/wusc/CatalGPT/SupervisedFineTuning/Smaug/WikiQA-Altered_Numeric_QA_4K.jsonl",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/Smaug/WikiQA-Altered_Numeric_QA_8K.jsonl",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/Smaug/WikiQA-Free_Form_QA_16K.jsonl",
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"/data/home/wusc/CatalGPT/SupervisedFineTuning/Smaug/WikiQA-Free_Form_QA_4K.jsonl",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/Smaug/WikiQA-Free_Form_QA_8K.jsonl",
"/data/home/wusc/CatalGPT/SupervisedFineTuning/truthful_qa/truthful_qa_multiple_choice.csv",
"self-cognition#8192"
],
"val_dataset": null,
"dataset_seed": 0,
"dataset_test_ratio": 0.01,
"use_loss_scale": false,
"system": "You are an expert in the field of chemistry and chemical engineering. Explain scientific concepts, theories, and phenomena in an engaging and accessible way. Take a deep breath and think step by step, which is very import to my career.",
"max_length": 4096,
"truncation_strategy": "delete",
"check_dataset_strategy": "warning",
"model_name": [
"非空",
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],
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"空",
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],
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"bnb_4bit_quant_type": "nf4",
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"lora_target_modules": [
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"k_proj",
"gate_proj",
"down_proj",
"o_proj",
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"up_proj",
"v_proj"
],
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"lora_bias_trainable": "none",
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"adapter_act": "gelu",
"adapter_length": 128,
"use_galore": false,
"galore_rank": 128,
"galore_target_modules": null,
"galore_update_proj_gap": 50,
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"galore_proj_type": "std",
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],
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"llamapro_num_groups": null,
"neftune_noise_alpha": 5.0,
"neftune_backend": "transformers",
"lisa_activated_layers": 0,
"lisa_step_interval": 20,
"gradient_checkpointing": true,
"deepspeed": null,
"batch_size": 2,
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"max_steps": -1,
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"learning_rate": 0.0002,
"weight_decay": 0.1,
"gradient_accumulation_steps": 32,
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"predict_with_generate": false,
"lr_scheduler_type": "cosine",
"warmup_ratio": 0.1,
"eval_steps": 160,
"save_steps": 160,
"save_only_model": false,
"save_total_limit": 2,
"logging_steps": 5,
"dataloader_num_workers": 4,
"dataloader_pin_memory": true,
"push_to_hub": false,
"hub_model_id": null,
"hub_token": null,
"hub_private_repo": false,
"push_hub_strategy": "push_best",
"test_oom_error": false,
"disable_tqdm": false,
"lazy_tokenize": true,
"preprocess_num_proc": 2,
"use_flash_attn": false,
"ignore_args_error": false,
"check_model_is_latest": true,
"logging_dir": "/data/home/wusc/CatalGPT/SwiftLog/output/yi-1.5-6b-chat/v19-20240521-010607.472967316/runs",
"report_to": [
"tensorboard"
],
"acc_strategy": "token",
"save_on_each_node": true,
"evaluation_strategy": "steps",
"save_strategy": "steps",
"save_safetensors": true,
"gpu_memory_fraction": null,
"include_num_input_tokens_seen": false,
"local_repo_path": null,
"custom_register_path": null,
"custom_dataset_info": null,
"device_map_config_path": null,
"max_new_tokens": 2048,
"do_sample": true,
"temperature": 0.3,
"top_k": 20,
"top_p": 0.7,
"repetition_penalty": 1.0,
"num_beams": 1,
"fsdp": "",
"fsdp_config": null,
"sequence_parallel_size": 1,
"per_device_train_batch_size": null,
"per_device_eval_batch_size": null,
"self_cognition_sample": 8192,
"train_dataset_mix_ratio": 0.0,
"train_dataset_mix_ds": [
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],
"train_dataset_sample": -1,
"val_dataset_sample": -1,
"safe_serialization": null,
"only_save_model": null,
"neftune_alpha": null,
"deepspeed_config_path": null,
"model_cache_dir": null,
"custom_train_dataset_path": [],
"custom_val_dataset_path": [],
"use_self_cognition": true,
"lora_use_embedding": true,
"lora_use_all": true,
"lora_m2s_use_embedding": false,
"lora_m2s_use_ln": false,
"torch_dtype": "torch.float16",
"fp16": true,
"bf16": false,
"bnb_4bit_compute_dtype": "torch.float16",
"load_in_4bit": false,
"load_in_8bit": false,
"train_sampler_random": true,
"training_args": "Seq2SeqTrainingArguments(output_dir='/data/home/wusc/CatalGPT/SwiftLog/output/yi-1.5-6b-chat/v19-20240521-010607.472967316', overwrite_output_dir=False, do_train=False, do_eval=True, do_predict=False, evaluation_strategy=<IntervalStrategy.STEPS: 'steps'>, prediction_loss_only=False, per_device_train_batch_size=2, per_device_eval_batch_size=2, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=32, eval_accumulation_steps=None, eval_delay=0, learning_rate=0.0002, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.999, adam_epsilon=1e-08, max_grad_norm=0.5, num_train_epochs=2, max_steps=-1, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, lr_scheduler_kwargs={}, warmup_ratio=0.1, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/data/home/wusc/CatalGPT/SwiftLog/output/yi-1.5-6b-chat/v19-20240521-010607.472967316/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=5, logging_nan_inf_filter=True, save_strategy=<IntervalStrategy.STEPS: 'steps'>, save_steps=160, save_total_limit=2, save_safetensors=True, save_on_each_node=True, save_only_model=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=42, data_seed=None, jit_mode_eval=False, use_ipex=False, bf16=False, fp16=True, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend='nccl', tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=160, dataloader_num_workers=4, dataloader_prefetch_factor=None, past_index=-1, run_name='/data/home/wusc/CatalGPT/SwiftLog/output/yi-1.5-6b-chat/v19-20240521-010607.472967316', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, fsdp=[], fsdp_min_num_params=0, fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=None, even_batches=True, use_seedable_sampler=True, gradient_accumulation_kwargs=None), deepspeed=None, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH: 'adamw_torch'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['tensorboard'], ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=False, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=False, hub_always_push=False, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, include_inputs_for_metrics=False, eval_do_concat_batches=True, fp16_backend='auto', push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=None, mp_parameters='', auto_find_batch_size=False, full_determinism=False, torchdynamo=None, ray_scope='last', ddp_timeout=1800, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, dispatch_batches=None, split_batches=None, include_tokens_per_second=False, include_num_input_tokens_seen=False, neftune_noise_alpha=5.0, optim_target_modules=None, sortish_sampler=True, predict_with_generate=False, generation_max_length=None, generation_num_beams=None, generation_config=GenerationConfig {\n \"do_sample\": true,\n \"eos_token_id\": 7,\n \"max_new_tokens\": 2048,\n \"pad_token_id\": 0,\n \"temperature\": 0.3,\n \"top_k\": 20,\n \"top_p\": 0.7\n}\n, train_sampler_random=True, push_hub_strategy='push_best', acc_strategy='token', additional_saved_files=[])"
}