diffcider-browser: retrained with every action offered and the operations balanced · operation 0.853, element 0.647, step 0.470 (test_website)
75242c1 verified Download sysone.json from sgaseretto/diffcider-browser: direct link, hf CLI and curl.
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- Download file 8.97 kB
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https://huggingface.co/sgaseretto/diffcider-browser/resolve/main/sysone.json
- Command line
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hf download hf://sgaseretto/diffcider-browser/sysone.json
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curl -L -o sysone.json https://huggingface.co/sgaseretto/diffcider-browser/resolve/main/sysone.json
8.97 kB
| { | |
| "sysone_version": "0.3.0", | |
| "backend": "sysone", | |
| "name": "diffcider-browser", | |
| "encoder": { | |
| "id": "dllm-hub/Qwen3-0.6B-diffusion-mdlm-v0.1", | |
| "revision": "c8d24a3f4adaeef46881b450e1bf7d1005203bd7", | |
| "source": "transformers", | |
| "hidden_size": 1024, | |
| "family": "a2d-qwen3", | |
| "modality": "text", | |
| "dtype": "float32", | |
| "weights": "adapter" | |
| }, | |
| "template": { | |
| "start": null, | |
| "sep": null, | |
| "end": null, | |
| "mask": "<|mask|>", | |
| "image": null, | |
| "row": "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\nState:\n{state}\n\nQuestion:\n{instructions}\n\n{options}<|im_end|>\n", | |
| "option": "{text}: {mask}", | |
| "max_len": 4096, | |
| "head_max_len": 2048, | |
| "option_tokens": 512, | |
| "truncate": "right", | |
| "option_sep": "\n", | |
| "kinds": { | |
| "choice": { | |
| "header": "For each option, mark Yes if it answers the question, otherwise No.\n", | |
| "option": "{text}: {mask}", | |
| "sep": "\n" | |
| }, | |
| "score": { | |
| "header": "For each option, mark Yes if it answers the question, otherwise No.\n", | |
| "option": "{text}: {mask}", | |
| "sep": "\n" | |
| }, | |
| "noul": { | |
| "header": "Answer Yes or No.\nAnswer:", | |
| "option": "{mask}", | |
| "sep": "" | |
| } | |
| }, | |
| "name": "jev" | |
| }, | |
| "tfms": [], | |
| "head": { | |
| "width": 1024, | |
| "layers": 0, | |
| "scorer": "yesno", | |
| "dropout": 0.1, | |
| "nhead": 16, | |
| "standardize": false, | |
| "readout": "anchor", | |
| "query": null, | |
| "query_width": null, | |
| "pair_dim": 256, | |
| "act": false, | |
| "regime": "lora" | |
| }, | |
| "temperature": { | |
| "choice": 1.2964, | |
| "choice:11+": 1.269, | |
| "choice:2": 5.0, | |
| "choice:6-10": 1.3646 | |
| }, | |
| "act_threshold": null, | |
| "act_score": null, | |
| "question_types": [ | |
| "choice", | |
| "score", | |
| "noul" | |
| ], | |
| "metrics": null, | |
| "training": { | |
| "recorded": "2026-10-06T09:41:23+00:00", | |
| "code": { | |
| "git": null, | |
| "sysone_git": { | |
| "repo": "sysonelib", | |
| "commit": "123ad8bac647e2a14555881ea19e4a6a159b27e6", | |
| "branch": "main", | |
| "remote": "https://github.com/sgaseretto/sysonelib.git", | |
| "dirty": true, | |
| "changed": [ | |
| "bs/01_template.ipynb", | |
| "nbs/02_data.ipynb", | |
| "nbs/03_models.ipynb", | |
| "nbs/04_losses.ipynb", | |
| "nbs/05_learner.ipynb", | |
| "nbs/06_inference.ipynb", | |
| "nbs/21_screens.ipynb", | |
| "nbs/40_cloud.ipynb", | |
| "nbs/42_hub.ipynb", | |
| "nbs/46_kaggle.ipynb", | |
| "nbs/50_cli.ipynb", | |
| "nbs/fixtures/make_fixtures.py", | |
| "nbs/index.ipynb", | |
| "sysone/__init__.py", | |
| "sysone/_modidx.py", | |
| "sysone/cli.py", | |
| "sysone/cloud.py", | |
| "sysone/data.py", | |
| "sysone/datasets.py", | |
| "sysone/hub.py", | |
| "sysone/inference.py", | |
| "sysone/kaggle.py", | |
| "sysone/learner.py", | |
| "sysone/losses.py", | |
| "sysone/models.py", | |
| "sysone/template.py", | |
| "nbs/24_mdlm.ipynb", | |
| "nbs/fixtures/tiny-a2d-qwen3/", | |
| "nbs/tutorials/11_mdlm_browser.ipynb", | |
| "sysone/mdlm.py" | |
| ], | |
| "n_changed": 30, | |
| "diff_sha256": "b81003e7b8e888ae895f543def8198f05d13617ca1c19610b4e24bfb36d9fca2" | |
| }, | |
| "entry": { | |
| "name": "run_f.py", | |
| "sha256": "c8ac51c45209cf768dbd228cccfc15b57a387283bf8b2681fd76b43191314289" | |
| } | |
| }, | |
| "environment": { | |
| "python": "3.13.15", | |
| "implementation": "CPython", | |
| "os": "Linux 6.18.48+", | |
| "packages": { | |
| "sysone": "0.3.0", | |
| "torch": "2.11.0+cu128", | |
| "transformers": "5.16.1", | |
| "peft": "0.20.0", | |
| "accelerate": "1.14.0", | |
| "datasets": "4.8.5", | |
| "huggingface_hub": "1.29.0", | |
| "tokenizers": "0.23.1", | |
| "safetensors": "0.8.0", | |
| "numpy": "2.1.3", | |
| "fastcore": "2.2.32", | |
| "plum-dispatch": "2.10.1" | |
| }, | |
| "cuda": "12.8", | |
| "cudnn": 91900 | |
| }, | |
| "hardware": { | |
| "accelerator": { | |
| "kind": "cuda", | |
| "devices": [ | |
| "Tesla T4", | |
| "Tesla T4" | |
| ], | |
| "memory_gb": [ | |
| 14.6, | |
| 14.6 | |
| ], | |
| "capability": "7.5" | |
| }, | |
| "host": { | |
| "cpu": "Intel(R) Xeon(R) CPU @ 2.00GHz", | |
| "cores": 4, | |
| "memory_gb": 31.3, | |
| "system": "Linux", | |
| "machine": "x86_64" | |
| }, | |
| "run": { | |
| "backend": "kaggle", | |
| "job": "mdlm-browser-e4", | |
| "machine": "NvidiaTeslaT4" | |
| } | |
| }, | |
| "data": { | |
| "source": { | |
| "kind": "hub", | |
| "id": "osunlp/Multimodal-Mind2Web", | |
| "config": null, | |
| "split": "train", | |
| "revision": null, | |
| "sha": "1b4c6a8cf9f77b7a5e0d641959935c80c4a05889", | |
| "note": "the first 1,500 usable steps of the train split, read without the screenshots by sysone.datasets.from_mm_mind2web with every action offered on every step (operations='all'), the operations oversampled to equal shares (RowSampler('oversample')); validation and calibration steps held out by website" | |
| }, | |
| "splits": { | |
| "train": { | |
| "cases": 1255, | |
| "fingerprint": "19308fb8aeafe3a8" | |
| }, | |
| "valid": { | |
| "cases": 89, | |
| "fingerprint": "c3fdcaffa9eecd95" | |
| }, | |
| "calib": { | |
| "cases": 156, | |
| "fingerprint": "a61f278fca9aebfa" | |
| } | |
| }, | |
| "template": "jev", | |
| "transforms": [], | |
| "sampler": "RowSampler(oversample, negatives=None, variants=1, seed=0)", | |
| "seed": 0 | |
| }, | |
| "model": { | |
| "encoder": "dllm-hub/Qwen3-0.6B-diffusion-mdlm-v0.1", | |
| "regime": "lora", | |
| "lora": { | |
| "peft_type": "LORA", | |
| "r": 16, | |
| "lora_alpha": 32, | |
| "lora_dropout": 0.05, | |
| "target_modules": [ | |
| "down_proj", | |
| "gate_proj", | |
| "k_proj", | |
| "o_proj", | |
| "q_proj", | |
| "up_proj", | |
| "v_proj" | |
| ], | |
| "bias": "none", | |
| "use_rslora": false, | |
| "use_dora": false, | |
| "modules_to_save": null | |
| }, | |
| "params": { | |
| "encoder": 606142464, | |
| "head": 4097, | |
| "trainable": 10096641 | |
| } | |
| }, | |
| "training": { | |
| "preset": "t4", | |
| "loss": "soft_ce_rps=0.25", | |
| "lr": [ | |
| 0.0002, | |
| 0.001 | |
| ], | |
| "seed": 0, | |
| "args": { | |
| "per_device_train_batch_size": 4, | |
| "lr_scheduler_type": "cosine", | |
| "warmup_steps": 0.1, | |
| "weight_decay": 0.01, | |
| "gradient_accumulation_steps": 4, | |
| "fp16": true, | |
| "gradient_checkpointing": true, | |
| "logging_steps": 10, | |
| "disable_tqdm": false, | |
| "report_to": [], | |
| "per_device_eval_batch_size": 16, | |
| "save_strategy": "no", | |
| "seed": 0, | |
| "accelerator_config": "AcceleratorConfig(split_batches=False, dispatch_batches=None, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False)", | |
| "remove_unused_columns": false, | |
| "label_names": [ | |
| "target" | |
| ], | |
| "train_sampling_strategy": "group_by_length", | |
| "length_column_name": "n_tokens", | |
| "debug": [] | |
| }, | |
| "fits": [ | |
| { | |
| "started": "2026-10-06T07:39:20+00:00", | |
| "regime": "lora", | |
| "epochs": 1, | |
| "max_steps": 150, | |
| "lr_head": 0.001, | |
| "lr_encoder": 0.0002, | |
| "schedule": "cosine", | |
| "warmup": 0.25, | |
| "batch_size": 4, | |
| "grad_accum": 4, | |
| "precision": "fp16", | |
| "device": "cuda", | |
| "steps": 150, | |
| "seconds": 5362.5, | |
| "final_loss": 1.1286651611328125, | |
| "peak_memory_gb": 7.8 | |
| } | |
| ], | |
| "history": { | |
| "loss": [ | |
| 3.470833969116211, | |
| 1.9087512969970704, | |
| 1.0811288833618165, | |
| 0.9566798210144043, | |
| 1.996589469909668, | |
| 1.868391227722168, | |
| 0.8938999176025391, | |
| 0.922907543182373, | |
| 1.6565101623535157, | |
| 1.7856624603271485, | |
| 1.146382713317871, | |
| 0.9506760597229004, | |
| 1.1785648345947266, | |
| 1.6015304565429687, | |
| 1.1286651611328125 | |
| ], | |
| "eval": [] | |
| } | |
| }, | |
| "tracking": null | |
| }, | |
| "evaluations": [ | |
| { | |
| "split": "test_website", | |
| "dataset": "osunlp/Multimodal-Mind2Web", | |
| "config": null, | |
| "n": 600, | |
| "metrics": { | |
| "accuracy_operation": 0.8533, | |
| "accuracy_element": 0.6467, | |
| "ece_operation": 0.0542, | |
| "ece_element": 0.0826, | |
| "accuracy_step": 0.47, | |
| "accuracy_operation_every_action_offered": 0.5733 | |
| }, | |
| "note": "its first 300 steps, from 9 websites none of the training steps came from, two decisions each, each step offering the actions its candidate elements allow (the last metric: every action offered); calibrated, on a Kaggle T4" | |
| } | |
| ] | |
| } |