Tensorflow Model Trainer - Auto-activating skill for ML Training. Triggers on: tensorflow model trainer, tensorflow model trainer Part of the ML Training skill category.
36
Quality
3%
Does it follow best practices?
Impact
100%
1.56xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./planned-skills/generated/07-ml-training/tensorflow-model-trainer/SKILL.mdTensorFlow data prep and model training pipeline
Uses TensorFlow
0%
100%
Data preparation step
100%
100%
Train/test split
100%
100%
Model definition
0%
100%
Model compilation
0%
100%
Model training call
100%
100%
Model saved to disk
50%
100%
Evaluation metrics reported
100%
100%
Model architecture in report
40%
100%
Script is self-contained
100%
100%
Without context: $0.4597 · 1m 38s · 21 turns · 22 in / 6,594 out tokens
With context: $0.8713 · 3m 39s · 34 turns · 67 in / 9,296 out tokens
Hyperparameter tuning with experiment tracking
Uses TensorFlow
0%
100%
Multiple hyperparameter configs
100%
100%
Learning rate variation
100%
100%
Architecture variation
100%
100%
Validation split used
100%
100%
Results CSV produced
100%
100%
Best config JSON produced
100%
100%
Best config identified correctly
100%
100%
Data preparation in script
100%
100%
Reproducibility seed
100%
100%
Without context: $1.3017 · 3s · 1 turns · 3 in / 69 out tokens
With context: $1.1857 · 3s · 1 turns · 3 in / 120 out tokens
Experiment tracking and production model saving
Uses TensorFlow
0%
100%
Data preparation
100%
100%
Train/validation/test split
100%
100%
TensorFlow model built
0%
100%
Model compiled correctly
0%
100%
Training history captured
40%
100%
training_history.json produced
100%
100%
Model saved to disk
50%
100%
Evaluation report produced
100%
100%
Validation during training
33%
100%
Without context: $0.3628 · 2m 1s · 18 turns · 20 in / 6,195 out tokens
With context: $1.9846 · 1s · 1 turns · 3 in / 23 out tokens
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Table of Contents
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