Text Classification
MLX
Safetensors
Laya
Polish
English
devops
decision-model
apple-silicon
experimental
synthetic-data
claude-code
litellm
Instructions to use tebebe/laya-devops-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use tebebe/laya-devops-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download tebebe/laya-devops-mlx --local-dir laya-devops-mlx
- Laya
How to use tebebe/laya-devops-mlx 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
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 2,231 Bytes
aa73ff9 | 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 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 | {
"run_id": "devops-v29-p08-r1",
"base_model": "local-checkpoint:devops-v29-p07-r1/model",
"base_model_dir": "local-checkpoint:devops-v29-p07-r1/model",
"dataset": "devops-permissions-v29-part-08-df4380ef",
"dataset_sha256": "df4380ef275ce62aff1ba744b1c418278f8bd18e088126de7aded18d9547cb36",
"hyperparameters": {
"method": "full",
"objective": "ce",
"epochs": 1,
"batch_size": 16,
"grad_accum": 1,
"lr": 1e-06,
"head_lr": 5e-07,
"lora_rank": 16,
"lora_alpha": 32,
"lora_dropout": 0.05,
"dora": false,
"rslora": false,
"loraplus_ratio": 1.0,
"lora_layers": 0,
"full_layers": 22,
"head_dropout": 0.1,
"weight_decay": 0.01,
"warmup": 0.06,
"max_grad_norm": 1.0,
"shuffle_options": true,
"class_weighting": "none",
"patience": 2,
"grad_checkpoint": "off",
"precision": "bfloat16",
"seed": 308,
"selection_metric": "last",
"false_allow_penalty": 1.0,
"deadline_at": null,
"pause_file": "[local-workspace]/workspace/chunk-stop-request"
},
"trainable_params": 125101825,
"total_params": 321908998,
"train_decisions": 47125,
"val_decisions": 2048,
"updates": 2946,
"best_epoch": 1,
"best_val_loss": 3.0101684325466e-09,
"best_val_accuracy": 1.0,
"best_val_safety_score": 1.1,
"best_val_operating_score": 1.1,
"selection_metric": "last",
"history": [
{
"epoch": 1,
"val_loss": 3.0101684325466e-09,
"val_accuracy": 1.0,
"partial_epoch": false,
"val_false_allows": 0,
"val_allow_recall": 1.0,
"val_safety_score": 1.1,
"val_operating_accuracy": 1.0,
"val_operating_allow_recall": 1.0,
"val_operating_threshold_uncalibrated": 0.9,
"val_operating_temperature": null,
"val_operating_score": 1.1
}
],
"train_seconds": 4839.8,
"peak_memory_gb": 35.98,
"gradient_checkpointing": false,
"calibration": {
"ece_uncalibrated": 3.0101680037475376e-09,
"ece_calibrated": 5.551115123125783e-16,
"temperature": [
0.5,
1.0,
1.0
],
"temperature_by_options": {
"choice:3-5": 0.5
},
"fitted_types": [
"choice"
]
},
"created": "2026-10-20T12:59:47"
}
|