Fill-Mask
Transformers
Safetensors
pakmosaic
pakistan
multilingual
encoder
research-preview
sota-target
custom_code
Instructions to use ProximaAI/PakMosaic-Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProximaAI/PakMosaic-Small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ProximaAI/PakMosaic-Small", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("ProximaAI/PakMosaic-Small", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download evals.json from ProximaAI/PakMosaic-Small: direct link, hf CLI and curl.
- Browser
- Download file 2.59 kB
-
https://huggingface.co/ProximaAI/PakMosaic-Small/resolve/main/evals.json
- Command line
-
hf download hf://ProximaAI/PakMosaic-Small/evals.json
-
curl -L -o evals.json https://huggingface.co/ProximaAI/PakMosaic-Small/resolve/main/evals.json
2.59 kB
| { | |
| "public_name": "PakMosaic-Small", | |
| "run_id": "pakmosaic-small_20260925T090924Z", | |
| "step": 2904769, | |
| "tokens_seen_checkpoint": 2000000068, | |
| "parameter_count": { | |
| "total": 67037952, | |
| "trainable": 67037952 | |
| }, | |
| "training": { | |
| "step": 2904769, | |
| "tokens_seen": 2000000068, | |
| "token_budget": 2000000000, | |
| "last_loss": 3.107429265975952, | |
| "last_masked_accuracy": 0.4583333432674408, | |
| "mean_loss_last_500": 1.9579948586970568, | |
| "mean_masked_accuracy_last_500": 0.6402293934822082, | |
| "n": 500 | |
| }, | |
| "diagnostic_eval": { | |
| "checkpoint": "/home/mahwiz/ai-workspace/mahwiz/pakmosaic/runs/pakmosaic-small_20260925T090924Z/final.pt", | |
| "step": 2904769, | |
| "perturbation": { | |
| "label": "DIAGNOSTIC_NOT_PAKBENCH", | |
| "kind": "same_sentence_perturbation", | |
| "cosine": 0.7603878974914551, | |
| "note": "Engineering sanity only. Not a semantic benchmark." | |
| }, | |
| "urdu_pairs": { | |
| "label": "DIAGNOSTIC_NOT_PAKBENCH", | |
| "kind": "urdu_pair_sanity", | |
| "pairs": [ | |
| { | |
| "tag": "near", | |
| "cosine": 0.9000482559204102 | |
| }, | |
| { | |
| "tag": "far", | |
| "cosine": 0.6890260577201843 | |
| } | |
| ] | |
| }, | |
| "language_centroids": { | |
| "label": "DIAGNOSTIC_NOT_PAKBENCH", | |
| "kind": "language_clustering_diagnostic", | |
| "pairwise_cosine": { | |
| "urd_Arab__pus_Arab": 0.8904119729995728 | |
| }, | |
| "note": "Untrained or barely-trained centroids are not language-ID scores." | |
| }, | |
| "label": "DIAGNOSTIC_NOT_PAKBENCH" | |
| }, | |
| "sota_gate": { | |
| "SOTA_VERIFIED": false, | |
| "checkpoint": "/home/mahwiz/ai-workspace/mahwiz/pakmosaic/runs/pakmosaic-small_20260925T090924Z/final.pt", | |
| "missing_evidence": [ | |
| "frozen_evaluation", | |
| "contamination_zero", | |
| "multiple_pakistan_languages", | |
| "contemporary_baselines", | |
| "task_level_results", | |
| "macro", | |
| "low_resource_macro", | |
| "worst_language", | |
| "not_tokenizer_fertility_only" | |
| ], | |
| "public_label": "research preview", | |
| "note": "A tokenizer fertility win is not model SOTA. Do not write SOTA on a model card until this gate returns true." | |
| }, | |
| "SOTA_VERIFIED": false, | |
| "label": "research preview", | |
| "note": "Diagnostic evals are not PakBench. Weights are inference safetensors only.", | |
| "safetensors": { | |
| "path": "/home/mahwiz/ai-workspace/mahwiz/pakmosaic/release/hf_small_staging/model.safetensors", | |
| "sha256": "209c1aa99ff759ffdad62f38467ff4a8945c7a94397a7440ab815ba9e47529b7" | |
| }, | |
| "not_uploaded": [ | |
| "FineWeb2", | |
| "HPLT", | |
| "Common Voice", | |
| "optimizer .pt" | |
| ] | |
| } | |