Machine & Deep Learning Console

Phase 1 -Core ML/DL Phase 2 - Classical ML Phase 3 - Transformers + Vision

Dataset

Model Epochs

Ready

Training Progress

Waiting for a training job.

Loss 0.0000

Accuracy / Score 0.0000

Precision / Recall / F1 0.0000 / 0.0000 / 0.0000

Throughput 0.0 samples/s

GPU / CPU Usage 0% / 0%

VRAM / RAM Usage 0 MB / 0 MB

Duration 0.0000 s

Inference Latency 0.0000 ms

Run ID pending

Loss Curve

Training loss per epoch

Accuracy / Validation Curve

Training score trend

Inference Latency

ONNX Runtime deployment history

Results

Latest Metrics

Recent Runs

ONNX Export + Deployment

Run export, inference, and optional GGUF conversion from the dashboard.

Run ID Inference Text Ollama Model Name GGUF Converter Path

Available Ollama Models

Checking local Ollama models...

Generate optional GGUF deployment scaffold for Ollama

Deployment idle

Export Status

Inference Result

Deployment Logs

No deployment activity yet.

Attention Map

ViT attention and transformer context weights

Selected Attention Weight

Token Activation Heatmap

MicroLLaMA and MiniLLaMA token activations

Training Logs

Waiting for a training job.

Model Training

Import Custom Dataset

Import Walkthrough

Dataset Preview