Instructions to use xju-arlab/vbench-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xju-arlab/vbench-model with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download multiple_objects/run_summary.json from xju-arlab/vbench-model: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/xju-arlab/vbench-model/resolve/main/multiple_objects/run_summary.json
- Command line
-
hf download hf://xju-arlab/vbench-model/multiple_objects/run_summary.json
-
curl -L -o run_summary.json https://huggingface.co/xju-arlab/vbench-model/resolve/main/multiple_objects/run_summary.json
3.06 kB
| { | |
| "task": "objects", | |
| "output_dir": "runs/formal/v6-8b/objects", | |
| "train_samples": 7688, | |
| "eval_samples": 811, | |
| "train_records_groups": 5371, | |
| "eval_records_groups": 597, | |
| "max_steps": 900, | |
| "max_length": 2048, | |
| "length_report": { | |
| "samples": 7688, | |
| "max_length": 2048, | |
| "over_budget": 0, | |
| "p50": 67, | |
| "p95": 86, | |
| "max": 503, | |
| "word_buckets": { | |
| "1-14": 4088, | |
| "15-49": 3546, | |
| "50-99": 43, | |
| "100-200": 8, | |
| "201-400": 3 | |
| } | |
| }, | |
| "parameter_inventory": { | |
| "trainable_tensors": 504, | |
| "trainable_parameters": 43646976, | |
| "frozen_parameters": 8190735360, | |
| "trainable_names_head": [ | |
| "base_model.model.model.layers.0.self_attn.q_proj.lora_A.default.weight", | |
| "base_model.model.model.layers.0.self_attn.q_proj.lora_B.default.weight", | |
| "base_model.model.model.layers.0.self_attn.k_proj.lora_A.default.weight", | |
| "base_model.model.model.layers.0.self_attn.k_proj.lora_B.default.weight", | |
| "base_model.model.model.layers.0.self_attn.v_proj.lora_A.default.weight", | |
| "base_model.model.model.layers.0.self_attn.v_proj.lora_B.default.weight", | |
| "base_model.model.model.layers.0.self_attn.o_proj.lora_A.default.weight", | |
| "base_model.model.model.layers.0.self_attn.o_proj.lora_B.default.weight" | |
| ] | |
| }, | |
| "mask_report": { | |
| "full_tokens": 60, | |
| "supervised_tokens": 9, | |
| "prompt_tokens": 51, | |
| "prompt_fully_masked": true, | |
| "all_masked": false, | |
| "target_present_in_supervision": true, | |
| "prompt_probe_leaked": false, | |
| "supervised_preview": "{\"entities\":[\"cupboards\",\"stove\"]}" | |
| }, | |
| "base_frozen": true, | |
| "adapter_changed": true, | |
| "train_metrics": { | |
| "train_runtime": 940.1288, | |
| "train_samples_per_second": 3.829, | |
| "train_steps_per_second": 0.957, | |
| "total_flos": 1.122250986768384e+16, | |
| "train_loss": 0.09826930885513624 | |
| }, | |
| "config": { | |
| "task": "objects", | |
| "model_name_or_path": "/data1/wenbiao_zhao/models/Qwen3-8B", | |
| "train_jsonl": "data/formal/v6/objects/train.jsonl", | |
| "output_dir": "runs/formal/v6-8b/objects", | |
| "eval_jsonl": "data/formal/v6/objects/dev.jsonl", | |
| "model_revision": "b968826d9c46dd6066d109eabc6255188de91218", | |
| "tokenizer_name_or_path": null, | |
| "max_steps": 900, | |
| "max_length": 2048, | |
| "per_device_train_batch_size": 1, | |
| "gradient_accumulation_steps": 4, | |
| "learning_rate": 0.0001, | |
| "lr_scheduler_type": "cosine", | |
| "warmup_steps": 10, | |
| "lora_r": 16, | |
| "lora_alpha": 32, | |
| "lora_dropout": 0.0, | |
| "lora_target_modules": "all-linear", | |
| "seed": 20260919, | |
| "bf16": true, | |
| "fp16": false, | |
| "gradient_checkpointing": true, | |
| "logging_steps": 10, | |
| "save_steps": 150, | |
| "save_total_limit": 3, | |
| "packing": false, | |
| "completion_only_loss": true, | |
| "local_files_only": true, | |
| "allow_download": false, | |
| "max_samples": null, | |
| "eval_fraction": 0.0, | |
| "dev_exact_match_every": 150, | |
| "dev_exact_match_samples": 24, | |
| "dev_exact_match_max_new_tokens": 96, | |
| "report_to": "none", | |
| "dataset_num_proc": 1, | |
| "extra": {} | |
| } | |
| } | |