Download segmentation/training.json from tadad/midf-sanskrit-ocr: direct link, hf CLI and curl.
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- Download file 2.65 kB
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https://huggingface.co/tadad/midf-sanskrit-ocr/resolve/main/segmentation/training.json
- Command line
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hf download hf://tadad/midf-sanskrit-ocr/segmentation/training.json
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curl -L -o training.json https://huggingface.co/tadad/midf-sanskrit-ocr/resolve/main/segmentation/training.json
2.65 kB
| { | |
| "architecture": "Kraken BLLA topline segmenter", | |
| "release": "v1.2", | |
| "weights_sha256": "92d824f7c780a4b63a61eb1bb7c6f1a23a865a1f0e3917bc93f946312eb8298d", | |
| "selected_checkpoint": "checkpoint_03-0.5272.ckpt", | |
| "selection": "best 60-page checkpoint-validation mean IoU among six completed epochs (epoch 4 in one-based numbering)", | |
| "job": "https://huggingface.co/jobs/tadad/6ac536d2fbc85ba6823b8207", | |
| "results": "hf://buckets/tadad/jobs-artifacts/midf-blla-v12-slantcurve-20261006T175841", | |
| "dataset": "tadad/midf-egangotri-sanskrit", | |
| "dataset_revision": "fa66bc54", | |
| "dataset_path": "data/segmentation/v1.1", | |
| "train_pages": 1916, | |
| "train_lines": 18990, | |
| "train_entries_per_epoch": 2383, | |
| "oversampling": "467 training pages with median topline slope above 1 degree or more than 30% of rows bowing by over 1% of their length are listed twice", | |
| "validation_pages": 734, | |
| "validation_lines": 9514, | |
| "test_pages": 229, | |
| "test_lines": 2711, | |
| "initialization": "hf://models/tadad/midf-sanskrit-ocr@1b86778317c50a9db0334a2d5d32dc4b35909226/segmentation/model.safetensors", | |
| "initialization_release": "v1.0", | |
| "initialization_revision": "1b86778317c50a9db0334a2d5d32dc4b35909226", | |
| "initialization_sha256": "5ce4dc4c6c0520bc08bb6de744356d58a549580bff6b2139b4a86bbb45a66dc1", | |
| "initialization_note": "v1.0 descends from v0.3, which was trained with M00638 examples. M00638 pages are held out from both continuations but are not manuscript-unseen to the inherited weights.", | |
| "learning_rate": 0.00005, | |
| "schedule": "reduceonplateau", | |
| "schedule_patience": 2, | |
| "schedule_gamma": 0.5, | |
| "line_width": 12, | |
| "augmentation": "training/augment.py SlantCurveAugmenter via training/ketos_augmented.py: rotation up to 6 degrees with shear up to 2 degrees on half the samples, a smooth row-bending vertical warp on a third, blur (p=0.2), colour jitter (p=0.3); applied identically to the page and its rasterized topline target", | |
| "precision": "bf16-mixed", | |
| "seed": 42, | |
| "kraken_version": "7.1.1", | |
| "epochs_completed": 6, | |
| "checkpoint_scores": [0.5163, 0.5123, 0.5222, 0.5272, 0.5204, 0.5177], | |
| "checkpoint_score_note": "Mean IoU on the 60-page checkpoint-validation panel. Not comparable with v1.0's 0.4795 because the wider topline target changes the IoU baseline.", | |
| "stop_reason": "3.5-hour training limit reached; best checkpoint recovered", | |
| "job_runtime_seconds": 14874, | |
| "estimated_compute_usd": 10.33, | |
| "inference_settings": { | |
| "input_height": 1200, | |
| "min_line_length": 0.2, | |
| "note": "Chosen after training on held-out pages; see evaluation.json. The checkpoint's own default input height is 1800." | |
| } | |
| } | |