Text Classification
Laya
Safetensors
Polish
decision-model
systemone
jev
polish
legal
document-classification
calibrated
Eval Results (legacy)
Instructions to use trenify/jerzyk-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use trenify/jerzyk-1.0 with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download train_report.json from trenify/jerzyk-1.0: direct link, hf CLI and curl.
- Browser
- Download file 3.84 kB
-
https://huggingface.co/trenify/jerzyk-1.0/resolve/main/train_report.json
- Command line
-
hf download hf://trenify/jerzyk-1.0/train_report.json
-
curl -L -o train_report.json https://huggingface.co/trenify/jerzyk-1.0/resolve/main/train_report.json
3.84 kB
| { | |
| "eval_source": "calibration_slice", | |
| "eval_mode": "in_sample_calibration", | |
| "is_held_out": false, | |
| "eval_items": 400, | |
| "note": "Metrics reflect in-sample calibration fit, not independent held-out evaluation. Provide --eval for held-out validation.", | |
| "before": { | |
| "items": 400, | |
| "loss": 1.5651, | |
| "accuracy": 0.56, | |
| "mean_confidence": 0.8108, | |
| "ece": 0.2508, | |
| "brier": 0.6589, | |
| "brier_top1": 0.2824, | |
| "by_type": { | |
| "choice": { | |
| "items": 136, | |
| "loss": 1.2561, | |
| "accuracy": 0.7868, | |
| "mean_confidence": 0.898, | |
| "ece": 0.1288, | |
| "brier": 0.3576, | |
| "brier_top1": 0.1483 | |
| }, | |
| "score": { | |
| "items": 129, | |
| "loss": 2.1186, | |
| "accuracy": 0.3101, | |
| "mean_confidence": 0.6873, | |
| "ece": 0.3772, | |
| "brier": 0.9646, | |
| "brier_top1": 0.3685 | |
| }, | |
| "noul": { | |
| "items": 135, | |
| "loss": 1.3475, | |
| "accuracy": 0.5704, | |
| "mean_confidence": 0.8411, | |
| "ece": 0.2768, | |
| "brier": 0.6702, | |
| "brier_top1": 0.3351 | |
| } | |
| } | |
| }, | |
| "after": { | |
| "items": 400, | |
| "loss": 0.0509, | |
| "accuracy": 0.985, | |
| "mean_confidence": 0.9841, | |
| "ece": 0.0104, | |
| "brier": 0.0242, | |
| "brier_top1": 0.0119, | |
| "by_type": { | |
| "choice": { | |
| "items": 136, | |
| "loss": 0.0, | |
| "accuracy": 1.0, | |
| "mean_confidence": 1.0, | |
| "ece": 0.0, | |
| "brier": 0.0, | |
| "brier_top1": 0.0 | |
| }, | |
| "score": { | |
| "items": 129, | |
| "loss": 0.0468, | |
| "accuracy": 0.9845, | |
| "mean_confidence": 0.985, | |
| "ece": 0.0107, | |
| "brier": 0.0247, | |
| "brier_top1": 0.0119 | |
| }, | |
| "noul": { | |
| "items": 135, | |
| "loss": 0.1061, | |
| "accuracy": 0.9704, | |
| "mean_confidence": 0.9671, | |
| "ece": 0.0218, | |
| "brier": 0.048, | |
| "brier_top1": 0.024 | |
| } | |
| } | |
| }, | |
| "comparison": { | |
| "delta_accuracy": 0.425, | |
| "delta_loss": -1.5142, | |
| "delta_ece": -0.2404, | |
| "delta_brier": -0.6347, | |
| "delta_brier_top1": -0.2705, | |
| "delta_mean_confidence": 0.1733 | |
| }, | |
| "calibration": { | |
| "choice": { | |
| "items": 136, | |
| "temperature": 0.9999958276748657, | |
| "issues": [ | |
| "the fit came back unchanged at 1.0 (accuracy 1.00, mean confidence 1.000 on the calibration items), which usually means they gave it nothing to correct; this type's confidences are uncalibrated" | |
| ], | |
| "accuracy": 1.0, | |
| "mean_confidence": 0.9999959610103946 | |
| }, | |
| "score": { | |
| "items": 129, | |
| "temperature": 1.8285092115402222, | |
| "issues": [], | |
| "accuracy": 0.9844961240310077, | |
| "mean_confidence": 0.9849781946721331 | |
| }, | |
| "noul": { | |
| "items": 135, | |
| "temperature": 3.370203733444214, | |
| "issues": [], | |
| "accuracy": 0.9703703703703703, | |
| "mean_confidence": 0.9671178420842376 | |
| } | |
| }, | |
| "abstention_thresholds": { | |
| "choice:6-10": 0.9998, | |
| "score:3-5": 0.5209, | |
| "noul:2": 0.5493 | |
| }, | |
| "training": { | |
| "epochs": 4, | |
| "micro_batch": 2, | |
| "grad_accum": 8, | |
| "encoder_lr": 2.5e-05, | |
| "head_lr": 0.0001, | |
| "min_lr": 1e-06, | |
| "weight_decay": 0.01, | |
| "grad_clip": 1.0, | |
| "loss": "soft-ce", | |
| "rl_samples": 4, | |
| "sigma_start": 0.4, | |
| "sigma_end": 0.1, | |
| "w_sph": 0.75, | |
| "w_rps": 1.0, | |
| "shuffle_options": [ | |
| "choice" | |
| ], | |
| "option_layout": null, | |
| "freeze_encoder": false, | |
| "calib_max": 400, | |
| "calib_frac": 0.1, | |
| "calib_seed": 20260922, | |
| "seed": 0, | |
| "max_len": null, | |
| "head_max_len": null, | |
| "amp": null, | |
| "gradient_checkpointing": null, | |
| "log_every": 100, | |
| "label_smoothing": 0.0, | |
| "text_column": "text", | |
| "label_column": "label", | |
| "question_id": "label", | |
| "instructions": null, | |
| "eval_data": null, | |
| "target_error": 0.1, | |
| "min_abstain_n": 10 | |
| } | |
| } |