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
File size: 1,109 Bytes
c4c7c52 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | {
"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": {}
}
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