Upload video_mllm_swift/s2_siglip2_qwen3_1.7b_10pct/args.json with huggingface_hub

video_mllm_swift/s2_siglip2_qwen3_1.7b_10pct/args.json

@@ -0,0 +1,379 @@
+{
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+  "log_level": "passive",
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+  "report_to": [
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+  "project": "huggingface",
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+    "train_micro_batch_size_per_gpu": "auto",
+    "wall_clock_breakdown": false
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+  "eval_metric": null,
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+  "eval_use_evalscope": false,
+  "eval_dataset": [],
+  "eval_dataset_args": null,
+  "eval_limit": null,
+  "eval_generation_config": null,
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+  "tuner_type": "full",
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+  "task_type": "causal_lm",
+  "torch_dtype": "bfloat16",
+  "attn_impl": "flash_attn",
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+  "max_memory": {},
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+  "local_repo_path": null,
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+  "template": "llava_siglip2_qwen3",
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+  "truncation_strategy": "delete",
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+  "agent_template": null,
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+  "use_chat_template": true,
+  "padding_side": "right",
+  "padding_free": true,
+  "loss_scale": "default",
+  "sequence_parallel_size": 1,
+  "template_backend": "swift",
+  "response_prefix": null,
+  "enable_thinking": null,
+  "add_non_thinking_prefix": true,
+  "dataset": [],
+  "val_dataset": [],
+  "cached_dataset": [
+    "/mnt/bn/strategy-mllm-train/common/datasets/vmllm_cached/image_10pct/train",
+    "/mnt/bn/strategy-mllm-train/common/datasets/vmllm_cached/video_10pct/train"
+  ],
+  "cached_val_dataset": [],
+  "split_dataset_ratio": 0.0,
+  "dataset_num_proc": 1,
+  "load_from_cache_file": false,
+  "dataset_shuffle": true,
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+  "streaming": false,
+  "interleave_prob": null,
+  "stopping_strategy": "first_exhausted",
+  "shuffle_buffer_size": 1000,
+  "download_mode": "reuse_dataset_if_exists",
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+  "structured_outputs_regex": null,
+  "train_type": null,
+  "adapters": [],
+  "external_plugins": [
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+    "video_mllm/dataset_plugin.py"
+  ],
+  "custom_register_path": [],
+  "model_kwargs": {},
+  "load_args": false,
+  "load_data_args": false,
+  "packing": true,
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+  "freeze_parameters": [],
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+  "trainable_parameters": [
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+  "freeze_llm": false,
+  "freeze_vit": false,
+  "freeze_aligner": false,
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+  "swanlab_project": "ms-swift",
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+  "swanlab_smtp_port": null,
+  "swanlab_email_language": "zh",
+  "swanlab_mode": "cloud",
+  "add_version": true,
+  "create_checkpoint_symlink": false,
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+  "deepspeed_autotp_size": null,
+  "swift_version": "4.1.0.dev0",
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+  "rank": 0,
+  "global_world_size": 8,
+  "local_world_size": 8,
+  "model_suffix": "checkpoint-2181",
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+  "model_meta": "ModelMeta(model_type='llava_siglip2_qwen3', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-0.6B', hf_model_id='Qwen/Qwen3-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-1.7B', hf_model_id='Qwen/Qwen3-1.7B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-4B', hf_model_id='Qwen/Qwen3-4B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'model_plugin.SigLIP2Qwen3Loader'>, template='llava_siglip2_qwen3', model_arch=MultiModelKeys(arch_name='llava_hf', embedding=None, module_list=None, lm_head=None, q_proj=None, k_proj=None, v_proj=None, o_proj=None, attention=None, mlp=None, down_proj=None, qkv_proj=None, qk_proj=None, qa_proj=None, qb_proj=None, kv_proj=None, kva_proj=None, kvb_proj=None, language_model=['model.language_model', 'lm_head'], aligner=['model.multi_modal_projector'], vision_tower=['model.vision_tower'], generator=[]), architectures=['LlavaOnevisionForConditionalGeneration'], additional_saved_files=[], torch_dtype=None, is_multimodal=True, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=['vision', 'video'])",
+  "model_dir": "/mnt/bn/strategy-mllm-train/user/wangjunjie/code/xiaomoguhzz/exps/video_mllm_swift/s1_siglip2_qwen3_1.7b/v11-20260314-090153/checkpoint-2181",
+  "template_meta": "QwenTemplateMeta(template_type='llava_siglip2_qwen3', prefix=[], prompt=['<|im_start|>user\\n{{QUERY}}<|im_end|>\\n<|im_start|>assistant\\n'], chat_sep=['<|im_end|>\\n'], suffix=['<|im_end|>\\n'], template_cls=<class 'model_plugin.SigLIP2LlavaTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system=None, auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='', history_thinking_prefix='')",
+  "_val_dataset_exists": false,
+  "hub": "<class 'swift.hub.hub.HFHub'>",
+  "evaluation_strategy": "steps",
+  "training_args": "Seq2SeqTrainingArguments(output_dir='/opt/tiger/exps/s2_siglip2_qwen3_1.7b_10pct/v0-20260319-025203', per_device_train_batch_size=1, num_train_epochs=3.0, max_steps=1000, learning_rate=1e-05, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, lr_scheduler_kwargs=None, warmup_steps=0.05, optim=<OptimizerNames.ADAMW_TORCH_FUSED: 'adamw_torch_fused'>, optim_args=None, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, optim_target_modules=None, gradient_accumulation_steps=8, average_tokens_across_devices=None, max_grad_norm=1.0, label_smoothing_factor=0.0, bf16=True, fp16=False, bf16_full_eval=False, fp16_full_eval=False, tf32=None, gradient_checkpointing=True, gradient_checkpointing_kwargs={'use_reentrant': False}, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, use_liger_kernel=False, liger_kernel_config=None, use_cache=False, neftune_noise_alpha=None, torch_empty_cache_steps=None, auto_find_batch_size=False, 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galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
+}