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Browse files- infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-100/adapter_config.json +1 -1
- infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-100/args.json +7 -7
- infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-200/adapter_config.json +1 -1
- infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-200/args.json +7 -7
- infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-300/adapter_config.json +1 -1
- infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-300/args.json +7 -7
- infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-400/adapter_config.json +1 -1
- infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-400/args.json +7 -7
- infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-484/adapter_config.json +1 -1
- infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-484/args.json +7 -7
- infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-100/adapter_config.json +1 -1
- infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-100/args.json +7 -7
- infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-200/adapter_config.json +1 -1
- infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-200/args.json +7 -7
- infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-300/adapter_config.json +1 -1
- infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-300/args.json +7 -7
- infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-400/adapter_config.json +1 -1
- infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-400/args.json +7 -7
- infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-500/adapter_config.json +1 -1
- infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-500/args.json +7 -7
- infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-600/adapter_config.json +1 -1
- infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-600/args.json +7 -7
- infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-700/adapter_config.json +1 -1
- infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-700/args.json +7 -7
- infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-706/adapter_config.json +1 -1
- infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-706/args.json +7 -7
- infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-100/adapter_config.json +1 -1
- infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-100/args.json +7 -7
- infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-200/adapter_config.json +1 -1
- infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-200/args.json +7 -7
- infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-300/adapter_config.json +1 -1
- infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-300/args.json +7 -7
- infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-400/adapter_config.json +1 -1
- infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-400/args.json +7 -7
- infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-500/adapter_config.json +1 -1
- infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-500/args.json +7 -7
- infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-600/adapter_config.json +1 -1
- infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-600/args.json +7 -7
- infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-700/adapter_config.json +1 -1
- infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-700/args.json +7 -7
- infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-756/adapter_config.json +1 -1
- infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-756/args.json +7 -7
infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-100/adapter_config.json
CHANGED
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@@ -3,7 +3,7 @@
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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-
"base_model_name_or_path": "/
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-100/args.json
CHANGED
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@@ -1,5 +1,5 @@
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{
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-
"output_dir": "/
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"per_device_train_batch_size": 4,
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"num_train_epochs": 2.0,
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"max_steps": -1,
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@@ -46,7 +46,7 @@
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"report_to": [
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"none"
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],
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-
"run_name": "/
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"project": "huggingface",
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"trackio_space_id": null,
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"trackio_bucket_id": null,
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@@ -115,7 +115,7 @@
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"do_predict": false,
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"resume_from_checkpoint": null,
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"warmup_ratio": 0.05,
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-
"logging_dir": "/
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"local_rank": 0,
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"sortish_sampler": false,
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"predict_with_generate": false,
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@@ -205,7 +205,7 @@
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"enable_thinking": null,
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"add_non_thinking_prefix": true,
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"dataset": [
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-
"/
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],
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"val_dataset": [],
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"cached_dataset": [],
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@@ -337,12 +337,12 @@
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"global_world_size": 4,
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"local_world_size": 4,
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"model_suffix": "Qwen3-Reranker-0.6B",
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-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
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| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
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-
"model_dir": "/
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"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
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"_val_dataset_exists": false,
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"hub": "<class 'swift.hub.hub.MSHub'>",
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"evaluation_strategy": "steps",
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-
"training_args": "TrainingArguments(output_dir='/
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}
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{
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| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801",
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"per_device_train_batch_size": 4,
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| 4 |
"num_train_epochs": 2.0,
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"max_steps": -1,
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|
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"report_to": [
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"none"
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],
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+
"run_name": "<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801",
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"project": "huggingface",
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"trackio_space_id": null,
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"trackio_bucket_id": null,
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"do_predict": false,
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"resume_from_checkpoint": null,
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"warmup_ratio": 0.05,
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+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/runs",
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"local_rank": 0,
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"sortish_sampler": false,
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"predict_with_generate": false,
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"enable_thinking": null,
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"add_non_thinking_prefix": true,
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"dataset": [
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+
"<REPO_ROOT>/infer/rerank/runs/amazon_swift/data/train_swift.jsonl"
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],
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"val_dataset": [],
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"cached_dataset": [],
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"global_world_size": 4,
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"local_world_size": 4,
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| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
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| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
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| 344 |
"_val_dataset_exists": false,
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| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
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| 346 |
"evaluation_strategy": "steps",
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| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
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}
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infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-200/adapter_config.json
CHANGED
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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"base_model_name_or_path": "/
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-200/args.json
CHANGED
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{
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"output_dir": "/
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"per_device_train_batch_size": 4,
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"num_train_epochs": 2.0,
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"max_steps": -1,
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@@ -46,7 +46,7 @@
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"report_to": [
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"none"
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],
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"run_name": "/
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"project": "huggingface",
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"trackio_space_id": null,
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"trackio_bucket_id": null,
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@@ -115,7 +115,7 @@
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"do_predict": false,
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"resume_from_checkpoint": null,
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"warmup_ratio": 0.05,
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-
"logging_dir": "/
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"local_rank": 0,
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"sortish_sampler": false,
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"predict_with_generate": false,
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@@ -205,7 +205,7 @@
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"enable_thinking": null,
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"add_non_thinking_prefix": true,
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"dataset": [
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-
"/
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],
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"val_dataset": [],
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"cached_dataset": [],
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@@ -337,12 +337,12 @@
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"global_world_size": 4,
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"local_world_size": 4,
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"model_suffix": "Qwen3-Reranker-0.6B",
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-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
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|
| 342 |
-
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|
| 343 |
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|
| 344 |
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|
| 345 |
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|
| 346 |
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|
| 347 |
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|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
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"output_dir": "<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 46 |
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|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
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"run_name": "<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801",
|
| 50 |
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| 208 |
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| 209 |
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| 210 |
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| 211 |
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| 338 |
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|
| 339 |
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|
| 340 |
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"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
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| 341 |
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|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-300/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-300/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801",
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801",
|
| 50 |
"project": "huggingface",
|
| 51 |
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| 52 |
"trackio_bucket_id": null,
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|
| 115 |
"do_predict": false,
|
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"warmup_ratio": 0.05,
|
| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/runs",
|
| 119 |
"local_rank": 0,
|
| 120 |
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|
| 121 |
"predict_with_generate": false,
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|
|
|
| 205 |
"enable_thinking": null,
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| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/amazon_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
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|
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|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-400/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-400/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801",
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801",
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/runs",
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/amazon_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-484/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/checkpoint-484/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801",
|
| 3 |
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|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801",
|
| 50 |
"project": "huggingface",
|
| 51 |
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|
| 52 |
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|
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|
| 115 |
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| 116 |
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|
| 117 |
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|
| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/runs",
|
| 119 |
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|
| 120 |
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|
| 121 |
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|
|
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|
| 205 |
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|
| 206 |
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|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/amazon_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
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|
|
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|
| 337 |
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|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
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|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/amazon_swift/sft_v2/v0-20260519-085801/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-100/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-100/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837",
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837",
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/runs",
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/mag_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-200/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-200/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837",
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837",
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/runs",
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/mag_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-300/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-300/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837",
|
| 3 |
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|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837",
|
| 50 |
"project": "huggingface",
|
| 51 |
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|
| 52 |
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|
| 115 |
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| 116 |
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|
| 117 |
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|
| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/runs",
|
| 119 |
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|
| 120 |
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|
| 121 |
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|
|
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|
| 205 |
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|
| 206 |
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|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/mag_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
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|
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|
| 337 |
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|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
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|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-400/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-400/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837",
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837",
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/runs",
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/mag_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-500/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-500/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837",
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837",
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/runs",
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/mag_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-600/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-600/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837",
|
| 3 |
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|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837",
|
| 50 |
"project": "huggingface",
|
| 51 |
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|
| 52 |
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|
| 115 |
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| 116 |
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|
| 117 |
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| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/runs",
|
| 119 |
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|
| 120 |
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|
| 121 |
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|
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|
| 205 |
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|
| 206 |
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|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/mag_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
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|
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|
| 337 |
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|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
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|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-700/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-700/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837",
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837",
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/runs",
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/mag_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-706/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/checkpoint-706/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837",
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837",
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/runs",
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/mag_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/mag_swift/sft_v2/v0-20260519-073837/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-100/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-100/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903",
|
| 3 |
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|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903",
|
| 50 |
"project": "huggingface",
|
| 51 |
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|
| 52 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/runs",
|
| 119 |
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|
| 120 |
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|
| 121 |
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|
|
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|
| 205 |
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|
| 206 |
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|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/prime_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
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|
|
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|
| 337 |
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|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
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|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-200/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-200/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903",
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903",
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/runs",
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/prime_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-300/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-300/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903",
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903",
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/runs",
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/prime_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-400/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-400/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903",
|
| 3 |
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|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903",
|
| 50 |
"project": "huggingface",
|
| 51 |
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|
| 52 |
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|
| 115 |
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| 116 |
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|
| 117 |
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|
| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/runs",
|
| 119 |
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|
| 120 |
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|
| 121 |
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|
|
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|
| 205 |
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|
| 206 |
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|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/prime_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
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|
|
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|
| 337 |
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|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
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|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-500/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-500/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903",
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903",
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/runs",
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/prime_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-600/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-600/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903",
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903",
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/runs",
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/prime_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-700/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-700/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903",
|
| 3 |
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|
| 4 |
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|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903",
|
| 50 |
"project": "huggingface",
|
| 51 |
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|
| 52 |
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| 115 |
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| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/runs",
|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/prime_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
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|
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|
| 337 |
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|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
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|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
|
| 348 |
}
|
infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-756/adapter_config.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
-
"base_model_name_or_path": "/
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
|
|
|
| 3 |
"alpha_pattern": {},
|
| 4 |
"arrow_config": null,
|
| 5 |
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 7 |
"bias": "none",
|
| 8 |
"corda_config": null,
|
| 9 |
"ensure_weight_tying": false,
|
infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/checkpoint-756/args.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"output_dir": "/
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
@@ -46,7 +46,7 @@
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
-
"run_name": "/
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
@@ -115,7 +115,7 @@
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
-
"logging_dir": "/
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
@@ -205,7 +205,7 @@
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
-
"/
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
@@ -337,12 +337,12 @@
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
-
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='/
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
-
"model_dir": "/
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
-
"training_args": "TrainingArguments(output_dir='/
|
| 348 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"output_dir": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903",
|
| 3 |
"per_device_train_batch_size": 4,
|
| 4 |
"num_train_epochs": 2.0,
|
| 5 |
"max_steps": -1,
|
|
|
|
| 46 |
"report_to": [
|
| 47 |
"none"
|
| 48 |
],
|
| 49 |
+
"run_name": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903",
|
| 50 |
"project": "huggingface",
|
| 51 |
"trackio_space_id": null,
|
| 52 |
"trackio_bucket_id": null,
|
|
|
|
| 115 |
"do_predict": false,
|
| 116 |
"resume_from_checkpoint": null,
|
| 117 |
"warmup_ratio": 0.05,
|
| 118 |
+
"logging_dir": "<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/runs",
|
| 119 |
"local_rank": 0,
|
| 120 |
"sortish_sampler": false,
|
| 121 |
"predict_with_generate": false,
|
|
|
|
| 205 |
"enable_thinking": null,
|
| 206 |
"add_non_thinking_prefix": true,
|
| 207 |
"dataset": [
|
| 208 |
+
"<REPO_ROOT>/infer/rerank/runs/prime_swift/data/train_swift.jsonl"
|
| 209 |
],
|
| 210 |
"val_dataset": [],
|
| 211 |
"cached_dataset": [],
|
|
|
|
| 337 |
"global_world_size": 4,
|
| 338 |
"local_world_size": 4,
|
| 339 |
"model_suffix": "Qwen3-Reranker-0.6B",
|
| 340 |
+
"model_info": "ModelInfo(model_type='qwen3_reranker', model_dir='<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B', torch_dtype=torch.bfloat16, max_model_len=40960, quant_method=None, quant_bits=None, rope_scaling={'rope_theta': 1000000, 'rope_type': 'default'}, is_moe_model=False, is_multimodal=False, config=None, task_type='generative_reranker', num_labels=None)",
|
| 341 |
"model_meta": "ModelMeta(model_type='qwen3_reranker', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3-Reranker-0.6B', hf_model_id='Qwen/Qwen3-Reranker-0.6B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-4B', hf_model_id='Qwen/Qwen3-Reranker-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3-Reranker-8B', hf_model_id='Qwen/Qwen3-Reranker-8B', model_path=None, ms_revision=None, hf_revision=None)], template=None, ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.register.ModelLoader'>, template='qwen3_reranker', model_arch=None, mcore_model_type='gpt', architectures=['Qwen3ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=None, requires=[], tags=[])",
|
| 342 |
+
"model_dir": "<USER_HOME>/.cache/modelscope/hub/models/Qwen/Qwen3-Reranker-0___6B",
|
| 343 |
"template_meta": "Qwen3MixedTemplateMeta(template_type='qwen3_reranker', 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 'swift.template.templates.qwen.Qwen3RerankerTemplate'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system='Judge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".', auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='hermes', is_thinking=False, thinking_prefix='', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', history_thinking_prefix='')",
|
| 344 |
"_val_dataset_exists": false,
|
| 345 |
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 346 |
"evaluation_strategy": "steps",
|
| 347 |
+
"training_args": "TrainingArguments(output_dir='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903', per_device_train_batch_size=4, num_train_epochs=2.0, max_steps=-1, learning_rate=3e-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=1, 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=None, 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, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=5, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=[], run_name='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=100.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=100, save_on_each_node=False, save_total_limit=12, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=4, dataloader_pin_memory=True, dataloader_persistent_workers=False, dataloader_prefetch_factor=2, remove_unused_columns=False, label_names=['labels'], train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, deepspeed=None, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, warmup_ratio=0.05, logging_dir='<REPO_ROOT>/infer/rerank/runs/prime_swift/sft_v2/v0-20260517-011903/runs', local_rank=0, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='listwise_reranker', eval_metric='reranker', callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='lora', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
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| 348 |
}
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