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{ |
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"model_type": "internvl2-26b", |
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"model_id_or_path": "OpenGVLab/InternVL2-26B", |
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"model_revision": "main", |
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"sft_type": "full", |
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"freeze_parameters": 0.0, |
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"additional_trainable_parameters": [], |
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"tuner_backend": "peft", |
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"template_type": "internvl2", |
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"output_dir": "/workspace/swift/internvl2-26b-ft/internvl2-26b/v0-20240721-070454", |
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"add_output_dir_suffix": true, |
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"ddp_backend": null, |
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"ddp_find_unused_parameters": null, |
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"ddp_broadcast_buffers": null, |
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"seed": 42, |
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"resume_from_checkpoint": null, |
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"resume_only_model": false, |
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"ignore_data_skip": false, |
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"dtype": "bf16", |
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"packing": false, |
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"dataset": [ |
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"formatted_data_new.jsonl" |
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], |
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"val_dataset": [], |
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"dataset_seed": 42, |
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"dataset_test_ratio": 0.01, |
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"use_loss_scale": false, |
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"loss_scale_config_path": "/workspace/swift/swift/llm/agent/default_loss_scale_config.json", |
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"system": "你是由上海人工智能实验室联合商汤科技开发的书生多模态大模型,英文名叫InternVL, 是一个有用无害的人工智能助手。", |
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"tools_prompt": "react_en", |
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"max_length": 4096, |
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"truncation_strategy": "delete", |
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"check_dataset_strategy": "none", |
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"model_name": [ |
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null, |
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null |
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], |
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null |
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], |
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"wqkv" |
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], |
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"use_rslora": false, |
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"boft_block_size": 4, |
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"boft_block_num": 0, |
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"boft_target_modules": [ |
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"DEFAULT" |
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], |
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"vera_rank": 256, |
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"DEFAULT" |
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], |
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"galore_proj_bits": 4, |
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"galore_proj_group_size": 256, |
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"galore_cos_threshold": 0.4, |
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"ia3_target_modules": [ |
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"DEFAULT" |
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], |
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"ia3_feedforward_modules": [], |
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"llamapro_num_new_blocks": 4, |
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"lisa_activated_layers": 0, |
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"lisa_step_interval": 20, |
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"gradient_checkpointing": true, |
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"optim": "adamw_torch", |
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"learning_rate": 1e-05, |
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"report_to": [ |
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"tensorboard" |
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], |
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"acc_strategy": "token", |
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"evaluation_strategy": "steps", |
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"save_strategy": "steps", |
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"save_safetensors": true, |
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"device_map_config_path": null, |
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"device_max_memory": [], |
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"max_new_tokens": 2048, |
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"do_sample": true, |
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"temperature": 0.3, |
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"top_k": 20, |
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"top_p": 0.7, |
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"repetition_penalty": 1.0, |
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"num_beams": 1, |
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"fsdp": "", |
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"fsdp_config": null, |
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"sequence_parallel_size": 1, |
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"ms-bench" |
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], |
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"val_dataset_sample": null, |
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"safe_serialization": null, |
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"model_cache_dir": null, |
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"use_self_cognition": false, |
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"is_multimodal": true, |
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"lora_use_embedding": false, |
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"lora_use_all": false, |
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"lora_m2s_use_embedding": false, |
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"torch_dtype": "torch.bfloat16", |
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"fp16": false, |
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"bf16": true, |
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"bnb_4bit_compute_dtype": "torch.bfloat16", |
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"load_in_4bit": false, |
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"load_in_8bit": false, |
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"train_sampler_random": true, |
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"training_args": "Seq2SeqTrainingArguments(output_dir='/workspace/swift/internvl2-26b-ft/internvl2-26b/v0-20240721-070454', 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=1, per_device_eval_batch_size=1, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=16, eval_accumulation_steps=None, eval_delay=0, learning_rate=1e-05, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.999, adam_epsilon=1e-08, max_grad_norm=0.5, num_train_epochs=1, max_steps=-1, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, lr_scheduler_kwargs={}, warmup_ratio=0.05, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/workspace/swift/internvl2-26b-ft/internvl2-26b/v0-20240721-070454/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=50, 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=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=50, dataloader_num_workers=1, past_index=-1, run_name='/workspace/swift/internvl2-26b-ft/internvl2-26b/v0-20240721-070454', 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_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=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=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, 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, 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=False, include_tokens_per_second=False, include_num_input_tokens_seen=False, neftune_noise_alpha=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\": 2,\n \"max_new_tokens\": 2048,\n \"pad_token_id\": 2,\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=[], metric_warmup_step=0, train_dataset_sample=1307)" |
|
} |