mistral-7b-xllm-lora / training_config.json
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Training in progress, step 25
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{
"experiment_key": "base",
"save_safetensors": true,
"max_shard_size": "10GB",
"local_rank": 0,
"use_gradient_checkpointing": true,
"trainer_key": "lm",
"force_fp32": false,
"force_fp16": false,
"from_gptq": false,
"huggingface_hub_token": null,
"single_gpu": null,
"master_port": 9994,
"deepspeed_stage": null,
"deepspeed_config_path": null,
"fsdp_strategy": "",
"fsdp_offload": true,
"seed": 42,
"stabilize": false,
"norm_fp32": false,
"path_to_env_file": "./.env",
"prepare_dataset": true,
"lora_hub_model_id": null,
"lora_model_local_path": null,
"fused_model_local_path": null,
"fuse_after_training": false,
"quantization_dataset_id": null,
"quantization_max_samples": 1024,
"quantized_model_path": "./quantized_model/",
"quantized_hub_model_id": null,
"quantized_hub_private_repo": true,
"dataset_key": "soda",
"train_local_path_to_data": "./train.jsonl",
"eval_local_path_to_data": null,
"shuffle": true,
"max_eval_samples": 1000,
"add_eval_to_train_if_no_path": false,
"tokenizer_name_or_path": null,
"tokenizer_use_fast": null,
"tokenizer_padding_side": null,
"collator_key": "lm",
"max_length": 2048,
"model_name_or_path": "mistralai/Mistral-7B-v0.1",
"push_to_hub_bos_add_bos_token": false,
"use_flash_attention_2": false,
"trust_remote_code": true,
"device_map": null,
"prepare_model_for_kbit_training": true,
"offload_folder": null,
"load_in_8bit": false,
"load_in_4bit": true,
"llm_int8_threshold": 6.0,
"llm_int8_has_fp16_weight": true,
"bnb_4bit_use_double_quant": true,
"bnb_4bit_quant_type": "nf4",
"bnb_quantize_after_model_init": false,
"gptq_bits": 4,
"gptq_group_size": 128,
"gptq_disable_exllama": true,
"apply_lora": true,
"lora_rank": 8,
"lora_alpha": 32,
"lora_dropout": 0.1,
"raw_lora_target_modules": "all",
"output_dir": "./outputs/",
"per_device_train_batch_size": 2,
"do_eval": false,
"per_device_eval_batch_size": null,
"gradient_accumulation_steps": 2,
"eval_accumulation_steps": null,
"eval_delay": 0,
"eval_steps": 1000,
"warmup_steps": 5,
"max_steps": 501,
"num_train_epochs": 2,
"learning_rate": 0.0002,
"max_grad_norm": 1.0,
"weight_decay": 0.001,
"label_smoothing_factor": 0.0,
"logging_steps": 1,
"save_steps": 25,
"save_total_limit": 1,
"optim": "paged_adamw_8bit",
"push_to_hub": true,
"hub_model_id": "nutorbit/mistral-7b-xllm-lora",
"hub_private_repo": false,
"neftune_noise_alpha": null,
"project_name": null,
"report_to_wandb": true,
"wandb_api_key": null,
"wandb_project": "numeval",
"wandb_entity": "data-x"
}