mirror of
https://github.com/MLSysBook/TinyTorch.git
synced 2026-04-28 12:42:33 -05:00
e5061f9797
Results: - Perceptron: ✅ (1.83s) 100.0% - XOR: ✅ (1.89s) 54.5% - MNIST: ✅ (2.02s) 11.0% - CIFAR: ❌ (60.00s) - TinyGPT: ✅ (1.82s)
34 lines
1.5 KiB
JSON
34 lines
1.5 KiB
JSON
{
|
|
"Perceptron": {
|
|
"success": true,
|
|
"time": 1.8280410766601562,
|
|
"output_preview": "ion\n\n\ud83d\ude80 Next Steps:\n \u2022 Continue to XOR 1969 milestone after Module 06 (Autograd)\n \u2022 YOUR foundation enables solving non-linear problems!\n \u2022 With 100.0% accuracy, YOUR perceptron works perfectly!\n",
|
|
"loss": 0.2038,
|
|
"accuracy": 100.0
|
|
},
|
|
"XOR": {
|
|
"success": true,
|
|
"time": 1.88511323928833,
|
|
"output_preview": "ayer networks\n\n\ud83d\ude80 Next Steps:\n \u2022 Continue to MNIST MLP after Module 08 (Training)\n \u2022 YOUR XOR solution scales to real vision problems!\n \u2022 Hidden layers principle powers all modern deep learning!\n",
|
|
"loss": 0.2497,
|
|
"accuracy": 54.5
|
|
},
|
|
"MNIST": {
|
|
"success": true,
|
|
"time": 2.0247628688812256,
|
|
"output_preview": " a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n one_hot[i, int(labels_np[i])] = 1.0\n",
|
|
"loss": 0.0,
|
|
"accuracy": 11.0
|
|
},
|
|
"CIFAR": {
|
|
"success": false,
|
|
"time": 60,
|
|
"timeout": true
|
|
},
|
|
"TinyGPT": {
|
|
"success": true,
|
|
"time": 1.8240149021148682,
|
|
"output_preview": "ining\n \u2022 Complete transformer architecture from first principles\n\n\ud83c\udfed Production Note:\n Real PyTorch uses optimized CUDA kernels for attention,\n but you built and understand the core mathematics!\n",
|
|
"loss": 0.3182
|
|
}
|
|
} |