Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- .ipynb_checkpoints/Untitled-checkpoint.ipynb +6 -0
- README.md +1 -0
- Untitled.ipynb +3174 -0
- imagenette2-160/BYOL/epoch=199-step=7200-v1.ckpt +3 -0
- imagenette2-160/BYOL/epoch=199-step=7200-v2.ckpt +3 -0
- imagenette2-160/BYOL/epoch=199-step=7200-v3.ckpt +3 -0
- imagenette2-160/BYOL/epoch=199-step=7200-v4.ckpt +3 -0
- imagenette2-160/BYOL/epoch=199-step=7200.ckpt +3 -0
- imagenette2-160/BarlowTwins/epoch=199-step=7200-v1.ckpt +3 -0
- imagenette2-160/BarlowTwins/epoch=199-step=7200-v2.ckpt +3 -0
- imagenette2-160/BarlowTwins/epoch=199-step=7200-v3.ckpt +3 -0
- imagenette2-160/BarlowTwins/epoch=199-step=7200-v4.ckpt +3 -0
- imagenette2-160/BarlowTwins/epoch=199-step=7200.ckpt +3 -0
- imagenette2-160/SimCLR/epoch=199-step=7200-v1.ckpt +3 -0
- imagenette2-160/SimCLR/epoch=199-step=7200-v2.ckpt +3 -0
- imagenette2-160/SimCLR/epoch=199-step=7200-v3.ckpt +3 -0
- imagenette2-160/SimCLR/epoch=199-step=7200-v4.ckpt +3 -0
- imagenette2-160/SimCLR/epoch=199-step=7200.ckpt +3 -0
- imagenette2-160/SimSiam/epoch=199-step=7200-v1.ckpt +3 -0
- imagenette2-160/SimSiam/epoch=199-step=7200-v2.ckpt +3 -0
- imagenette2-160/SimSiam/epoch=199-step=7200-v3.ckpt +3 -0
- imagenette2-160/SimSiam/epoch=199-step=7200-v4.ckpt +3 -0
- imagenette2-160/SimSiam/epoch=199-step=7200.ckpt +3 -0
- imagenette2-160/SwaV/epoch=199-step=7200-v1.ckpt +3 -0
- imagenette2-160/SwaV/epoch=199-step=7200-v2.ckpt +3 -0
- imagenette2-160/SwaV/epoch=199-step=7200-v3.ckpt +3 -0
- imagenette2-160/SwaV/epoch=199-step=7200-v4.ckpt +3 -0
- imagenette2-160/SwaV/epoch=199-step=7200.ckpt +3 -0
- imagenette2-160/VICReg/epoch=199-step=7200-v1.ckpt +3 -0
- imagenette2-160/VICReg/epoch=199-step=7200-v2.ckpt +3 -0
- imagenette2-160/VICReg/epoch=199-step=7200-v3.ckpt +3 -0
- imagenette2-160/VICReg/epoch=199-step=7200-v4.ckpt +3 -0
- imagenette2-160/VICReg/epoch=199-step=7200.ckpt +3 -0
- imagenette2-160/VICRegl25/epoch=199-step=7200-v1.ckpt +3 -0
- imagenette2-160/VICRegl25/epoch=199-step=7200-v2.ckpt +3 -0
- imagenette2-160/VICRegl25/epoch=199-step=7200-v3.ckpt +3 -0
- imagenette2-160/VICRegl25/epoch=199-step=7200.ckpt +3 -0
- imagenette2-160/VICRegl50/epoch=199-step=7200-v1.ckpt +3 -0
- imagenette2-160/VICRegl50/epoch=199-step=7200-v2.ckpt +3 -0
- imagenette2-160/VICRegl50/epoch=199-step=7200-v3.ckpt +3 -0
- imagenette2-160/VICRegl50/epoch=199-step=7200.ckpt +3 -0
- imagenette2-160/VICRegl50/epoch=63-step=2304.ckpt +3 -0
- imagenette2-160/VICRegl75/epoch=199-step=7200-v1.ckpt +3 -0
- imagenette2-160/VICRegl75/epoch=199-step=7200-v2.ckpt +3 -0
- imagenette2-160/VICRegl75/epoch=199-step=7200-v3.ckpt +3 -0
- imagenette2-160/VICRegl75/epoch=199-step=7200-v4.ckpt +3 -0
- imagenette2-160/VICRegl75/epoch=199-step=7200.ckpt +3 -0
- imagenette2-160/VICRegl95/epoch=199-step=7200-v1.ckpt +3 -0
- imagenette2-160/VICRegl95/epoch=199-step=7200-v2.ckpt +3 -0
- imagenette2-160/VICRegl95/epoch=199-step=7200-v3.ckpt +3 -0
.ipynb_checkpoints/Untitled-checkpoint.ipynb
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cells": [],
|
3 |
+
"metadata": {},
|
4 |
+
"nbformat": 4,
|
5 |
+
"nbformat_minor": 5
|
6 |
+
}
|
README.md
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
# ssl-checkpoints
|
Untitled.ipynb
ADDED
@@ -0,0 +1,3174 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cells": [
|
3 |
+
{
|
4 |
+
"cell_type": "code",
|
5 |
+
"execution_count": 28,
|
6 |
+
"id": "9e9f1a9c-62e7-42c1-aadc-83fa2a02e3e0",
|
7 |
+
"metadata": {},
|
8 |
+
"outputs": [],
|
9 |
+
"source": [
|
10 |
+
"import os\n",
|
11 |
+
"import shutil\n",
|
12 |
+
"path = \"/mnt/data1/archives/hola/rnd-autosupervision/\"\n",
|
13 |
+
"dir = [\"nabirds\"]"
|
14 |
+
]
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"cell_type": "code",
|
18 |
+
"execution_count": 6,
|
19 |
+
"id": "165edf87-d8b6-492f-83b9-329ac5b704e4",
|
20 |
+
"metadata": {},
|
21 |
+
"outputs": [],
|
22 |
+
"source": [
|
23 |
+
"sub_dir = os.listdir(path + \"imagenette2\")"
|
24 |
+
]
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"cell_type": "code",
|
28 |
+
"execution_count": 5,
|
29 |
+
"id": "78ee288e-19e4-4d62-84fe-69953afba2ab",
|
30 |
+
"metadata": {},
|
31 |
+
"outputs": [],
|
32 |
+
"source": [
|
33 |
+
"import subprocess\n"
|
34 |
+
]
|
35 |
+
},
|
36 |
+
{
|
37 |
+
"cell_type": "code",
|
38 |
+
"execution_count": null,
|
39 |
+
"id": "818be5a1-873d-4a41-8757-85696143bfce",
|
40 |
+
"metadata": {},
|
41 |
+
"outputs": [],
|
42 |
+
"source": [
|
43 |
+
"[os.mkdir(dir[i] + sub_dir[j] ) for i in ]"
|
44 |
+
]
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"cell_type": "code",
|
48 |
+
"execution_count": 25,
|
49 |
+
"id": "e3049cd3-d334-415a-8946-219b97916e43",
|
50 |
+
"metadata": {},
|
51 |
+
"outputs": [],
|
52 |
+
"source": [
|
53 |
+
"from subprocess import call\n",
|
54 |
+
"\n",
|
55 |
+
"def cp_dir(source, target):\n",
|
56 |
+
" call(['cp', '-a', source, target]) # Linux"
|
57 |
+
]
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"cell_type": "code",
|
61 |
+
"execution_count": 29,
|
62 |
+
"id": "3ccfa582-910d-4d67-b57d-5f540b96434c",
|
63 |
+
"metadata": {},
|
64 |
+
"outputs": [],
|
65 |
+
"source": [
|
66 |
+
"from distutils.dir_util import copy_tree\n",
|
67 |
+
"for d in dir:\n",
|
68 |
+
" d_update = d\n",
|
69 |
+
" if d == \"nabirds\":\n",
|
70 |
+
" d_update = \"nabirds-400\"\n",
|
71 |
+
" for sub in sub_dir:\n",
|
72 |
+
" if sub!=\"log\":\n",
|
73 |
+
" source_path = path + d_update + \"/\" + sub + \"/checkpoints\"\n",
|
74 |
+
" to_directory = d + \"/\" + sub\n",
|
75 |
+
" copy_tree(source_path, to_directory)\n",
|
76 |
+
" # print(d + \"/\" + sub)\n",
|
77 |
+
" # os.makedirs(\"./\" + d + \"/\" + sub)"
|
78 |
+
]
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"cell_type": "code",
|
82 |
+
"execution_count": 31,
|
83 |
+
"id": "d6f8f2a8-f944-4870-8e61-b4e88d8a2444",
|
84 |
+
"metadata": {},
|
85 |
+
"outputs": [],
|
86 |
+
"source": [
|
87 |
+
"from huggingface_hub import HfApi\n",
|
88 |
+
"api = HfApi()"
|
89 |
+
]
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"cell_type": "code",
|
93 |
+
"execution_count": null,
|
94 |
+
"id": "9a0fa3ca-2c6e-43d8-8f13-3516b2ebfab6",
|
95 |
+
"metadata": {},
|
96 |
+
"outputs": [
|
97 |
+
{
|
98 |
+
"data": {
|
99 |
+
"application/vnd.jupyter.widget-view+json": {
|
100 |
+
"model_id": "42cf78263b094d4d8bb60f5bf8a00232",
|
101 |
+
"version_major": 2,
|
102 |
+
"version_minor": 0
|
103 |
+
},
|
104 |
+
"text/plain": [
|
105 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
106 |
+
]
|
107 |
+
},
|
108 |
+
"metadata": {},
|
109 |
+
"output_type": "display_data"
|
110 |
+
},
|
111 |
+
{
|
112 |
+
"data": {
|
113 |
+
"application/vnd.jupyter.widget-view+json": {
|
114 |
+
"model_id": "6a0eb9d09076421ba4f542fc22ce73a3",
|
115 |
+
"version_major": 2,
|
116 |
+
"version_minor": 0
|
117 |
+
},
|
118 |
+
"text/plain": [
|
119 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
120 |
+
]
|
121 |
+
},
|
122 |
+
"metadata": {},
|
123 |
+
"output_type": "display_data"
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"data": {
|
127 |
+
"application/vnd.jupyter.widget-view+json": {
|
128 |
+
"model_id": "4caea0d61035427eb788b383f1eb582e",
|
129 |
+
"version_major": 2,
|
130 |
+
"version_minor": 0
|
131 |
+
},
|
132 |
+
"text/plain": [
|
133 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
134 |
+
]
|
135 |
+
},
|
136 |
+
"metadata": {},
|
137 |
+
"output_type": "display_data"
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"data": {
|
141 |
+
"application/vnd.jupyter.widget-view+json": {
|
142 |
+
"model_id": "c33b396934244c64aa806bec36fbb597",
|
143 |
+
"version_major": 2,
|
144 |
+
"version_minor": 0
|
145 |
+
},
|
146 |
+
"text/plain": [
|
147 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
148 |
+
]
|
149 |
+
},
|
150 |
+
"metadata": {},
|
151 |
+
"output_type": "display_data"
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"data": {
|
155 |
+
"application/vnd.jupyter.widget-view+json": {
|
156 |
+
"model_id": "f9db350712a146e0bed562bc94965102",
|
157 |
+
"version_major": 2,
|
158 |
+
"version_minor": 0
|
159 |
+
},
|
160 |
+
"text/plain": [
|
161 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
162 |
+
]
|
163 |
+
},
|
164 |
+
"metadata": {},
|
165 |
+
"output_type": "display_data"
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"data": {
|
169 |
+
"application/vnd.jupyter.widget-view+json": {
|
170 |
+
"model_id": "53b65efb705d4e1595ba98709f887d37",
|
171 |
+
"version_major": 2,
|
172 |
+
"version_minor": 0
|
173 |
+
},
|
174 |
+
"text/plain": [
|
175 |
+
"Upload 218 LFS files: 0%| | 0/218 [00:00<?, ?it/s]"
|
176 |
+
]
|
177 |
+
},
|
178 |
+
"metadata": {},
|
179 |
+
"output_type": "display_data"
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"data": {
|
183 |
+
"application/vnd.jupyter.widget-view+json": {
|
184 |
+
"model_id": "9ed45d3561544304a2b5f121c998a689",
|
185 |
+
"version_major": 2,
|
186 |
+
"version_minor": 0
|
187 |
+
},
|
188 |
+
"text/plain": [
|
189 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
190 |
+
]
|
191 |
+
},
|
192 |
+
"metadata": {},
|
193 |
+
"output_type": "display_data"
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"data": {
|
197 |
+
"application/vnd.jupyter.widget-view+json": {
|
198 |
+
"model_id": "ee5842537fcf40ed8d59b86a3f188255",
|
199 |
+
"version_major": 2,
|
200 |
+
"version_minor": 0
|
201 |
+
},
|
202 |
+
"text/plain": [
|
203 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
204 |
+
]
|
205 |
+
},
|
206 |
+
"metadata": {},
|
207 |
+
"output_type": "display_data"
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"data": {
|
211 |
+
"application/vnd.jupyter.widget-view+json": {
|
212 |
+
"model_id": "97fbe3433bb64af4b2bdab078197ec8a",
|
213 |
+
"version_major": 2,
|
214 |
+
"version_minor": 0
|
215 |
+
},
|
216 |
+
"text/plain": [
|
217 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
218 |
+
]
|
219 |
+
},
|
220 |
+
"metadata": {},
|
221 |
+
"output_type": "display_data"
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"data": {
|
225 |
+
"application/vnd.jupyter.widget-view+json": {
|
226 |
+
"model_id": "bcefc92196f74120ad57faa99338108a",
|
227 |
+
"version_major": 2,
|
228 |
+
"version_minor": 0
|
229 |
+
},
|
230 |
+
"text/plain": [
|
231 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
232 |
+
]
|
233 |
+
},
|
234 |
+
"metadata": {},
|
235 |
+
"output_type": "display_data"
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"data": {
|
239 |
+
"application/vnd.jupyter.widget-view+json": {
|
240 |
+
"model_id": "d112e279248e461985d62bb5aeccc87e",
|
241 |
+
"version_major": 2,
|
242 |
+
"version_minor": 0
|
243 |
+
},
|
244 |
+
"text/plain": [
|
245 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
246 |
+
]
|
247 |
+
},
|
248 |
+
"metadata": {},
|
249 |
+
"output_type": "display_data"
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"data": {
|
253 |
+
"application/vnd.jupyter.widget-view+json": {
|
254 |
+
"model_id": "50d7169160a34205ac28c558eda27215",
|
255 |
+
"version_major": 2,
|
256 |
+
"version_minor": 0
|
257 |
+
},
|
258 |
+
"text/plain": [
|
259 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
260 |
+
]
|
261 |
+
},
|
262 |
+
"metadata": {},
|
263 |
+
"output_type": "display_data"
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"data": {
|
267 |
+
"application/vnd.jupyter.widget-view+json": {
|
268 |
+
"model_id": "93c3475de3cf46e8965a435bfeaac55b",
|
269 |
+
"version_major": 2,
|
270 |
+
"version_minor": 0
|
271 |
+
},
|
272 |
+
"text/plain": [
|
273 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
274 |
+
]
|
275 |
+
},
|
276 |
+
"metadata": {},
|
277 |
+
"output_type": "display_data"
|
278 |
+
},
|
279 |
+
{
|
280 |
+
"data": {
|
281 |
+
"application/vnd.jupyter.widget-view+json": {
|
282 |
+
"model_id": "db0aa4a0e65e4121929a8fa16395f385",
|
283 |
+
"version_major": 2,
|
284 |
+
"version_minor": 0
|
285 |
+
},
|
286 |
+
"text/plain": [
|
287 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
288 |
+
]
|
289 |
+
},
|
290 |
+
"metadata": {},
|
291 |
+
"output_type": "display_data"
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"data": {
|
295 |
+
"application/vnd.jupyter.widget-view+json": {
|
296 |
+
"model_id": "3c2ca326b34d45e18ed3f841f051ae7f",
|
297 |
+
"version_major": 2,
|
298 |
+
"version_minor": 0
|
299 |
+
},
|
300 |
+
"text/plain": [
|
301 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
302 |
+
]
|
303 |
+
},
|
304 |
+
"metadata": {},
|
305 |
+
"output_type": "display_data"
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"data": {
|
309 |
+
"application/vnd.jupyter.widget-view+json": {
|
310 |
+
"model_id": "39c0444d1abc4b16b6c278a792eb734a",
|
311 |
+
"version_major": 2,
|
312 |
+
"version_minor": 0
|
313 |
+
},
|
314 |
+
"text/plain": [
|
315 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
316 |
+
]
|
317 |
+
},
|
318 |
+
"metadata": {},
|
319 |
+
"output_type": "display_data"
|
320 |
+
},
|
321 |
+
{
|
322 |
+
"data": {
|
323 |
+
"application/vnd.jupyter.widget-view+json": {
|
324 |
+
"model_id": "ec2b9e642f3d480fb9404b3127e041df",
|
325 |
+
"version_major": 2,
|
326 |
+
"version_minor": 0
|
327 |
+
},
|
328 |
+
"text/plain": [
|
329 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
330 |
+
]
|
331 |
+
},
|
332 |
+
"metadata": {},
|
333 |
+
"output_type": "display_data"
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"data": {
|
337 |
+
"application/vnd.jupyter.widget-view+json": {
|
338 |
+
"model_id": "927b55cb4cb0446a87f3770f91fd0e05",
|
339 |
+
"version_major": 2,
|
340 |
+
"version_minor": 0
|
341 |
+
},
|
342 |
+
"text/plain": [
|
343 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
344 |
+
]
|
345 |
+
},
|
346 |
+
"metadata": {},
|
347 |
+
"output_type": "display_data"
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"data": {
|
351 |
+
"application/vnd.jupyter.widget-view+json": {
|
352 |
+
"model_id": "9e3ed1947ad249c5b25cb395cbb1f1aa",
|
353 |
+
"version_major": 2,
|
354 |
+
"version_minor": 0
|
355 |
+
},
|
356 |
+
"text/plain": [
|
357 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
358 |
+
]
|
359 |
+
},
|
360 |
+
"metadata": {},
|
361 |
+
"output_type": "display_data"
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"data": {
|
365 |
+
"application/vnd.jupyter.widget-view+json": {
|
366 |
+
"model_id": "a8d73e748eeb4516abd9cc6fcda02156",
|
367 |
+
"version_major": 2,
|
368 |
+
"version_minor": 0
|
369 |
+
},
|
370 |
+
"text/plain": [
|
371 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
372 |
+
]
|
373 |
+
},
|
374 |
+
"metadata": {},
|
375 |
+
"output_type": "display_data"
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"data": {
|
379 |
+
"application/vnd.jupyter.widget-view+json": {
|
380 |
+
"model_id": "53eec9b2b0074441914986c85224cb67",
|
381 |
+
"version_major": 2,
|
382 |
+
"version_minor": 0
|
383 |
+
},
|
384 |
+
"text/plain": [
|
385 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
386 |
+
]
|
387 |
+
},
|
388 |
+
"metadata": {},
|
389 |
+
"output_type": "display_data"
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"data": {
|
393 |
+
"application/vnd.jupyter.widget-view+json": {
|
394 |
+
"model_id": "17777cecbcca44848cd861fa600488b4",
|
395 |
+
"version_major": 2,
|
396 |
+
"version_minor": 0
|
397 |
+
},
|
398 |
+
"text/plain": [
|
399 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
400 |
+
]
|
401 |
+
},
|
402 |
+
"metadata": {},
|
403 |
+
"output_type": "display_data"
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"data": {
|
407 |
+
"application/vnd.jupyter.widget-view+json": {
|
408 |
+
"model_id": "c202133196c24423ab130aace9541e87",
|
409 |
+
"version_major": 2,
|
410 |
+
"version_minor": 0
|
411 |
+
},
|
412 |
+
"text/plain": [
|
413 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
414 |
+
]
|
415 |
+
},
|
416 |
+
"metadata": {},
|
417 |
+
"output_type": "display_data"
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"data": {
|
421 |
+
"application/vnd.jupyter.widget-view+json": {
|
422 |
+
"model_id": "23a1ace3b65b487b82c65417698b9114",
|
423 |
+
"version_major": 2,
|
424 |
+
"version_minor": 0
|
425 |
+
},
|
426 |
+
"text/plain": [
|
427 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
428 |
+
]
|
429 |
+
},
|
430 |
+
"metadata": {},
|
431 |
+
"output_type": "display_data"
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"data": {
|
435 |
+
"application/vnd.jupyter.widget-view+json": {
|
436 |
+
"model_id": "dbfbd47e37b24ee7a73a8d979e89cf28",
|
437 |
+
"version_major": 2,
|
438 |
+
"version_minor": 0
|
439 |
+
},
|
440 |
+
"text/plain": [
|
441 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
442 |
+
]
|
443 |
+
},
|
444 |
+
"metadata": {},
|
445 |
+
"output_type": "display_data"
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"data": {
|
449 |
+
"application/vnd.jupyter.widget-view+json": {
|
450 |
+
"model_id": "e3a3e80f574640c5899651bb42ef15dc",
|
451 |
+
"version_major": 2,
|
452 |
+
"version_minor": 0
|
453 |
+
},
|
454 |
+
"text/plain": [
|
455 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
456 |
+
]
|
457 |
+
},
|
458 |
+
"metadata": {},
|
459 |
+
"output_type": "display_data"
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"data": {
|
463 |
+
"application/vnd.jupyter.widget-view+json": {
|
464 |
+
"model_id": "cc7539cf042643179f12b183de903cfe",
|
465 |
+
"version_major": 2,
|
466 |
+
"version_minor": 0
|
467 |
+
},
|
468 |
+
"text/plain": [
|
469 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
470 |
+
]
|
471 |
+
},
|
472 |
+
"metadata": {},
|
473 |
+
"output_type": "display_data"
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"data": {
|
477 |
+
"application/vnd.jupyter.widget-view+json": {
|
478 |
+
"model_id": "52b3efc9835e47cfa8851744cffd0634",
|
479 |
+
"version_major": 2,
|
480 |
+
"version_minor": 0
|
481 |
+
},
|
482 |
+
"text/plain": [
|
483 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
484 |
+
]
|
485 |
+
},
|
486 |
+
"metadata": {},
|
487 |
+
"output_type": "display_data"
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"data": {
|
491 |
+
"application/vnd.jupyter.widget-view+json": {
|
492 |
+
"model_id": "67275ef5dde84513b92d1b52f0231ccb",
|
493 |
+
"version_major": 2,
|
494 |
+
"version_minor": 0
|
495 |
+
},
|
496 |
+
"text/plain": [
|
497 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
498 |
+
]
|
499 |
+
},
|
500 |
+
"metadata": {},
|
501 |
+
"output_type": "display_data"
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"data": {
|
505 |
+
"application/vnd.jupyter.widget-view+json": {
|
506 |
+
"model_id": "69f9a1f649804ca9b5d6c158e82f32d3",
|
507 |
+
"version_major": 2,
|
508 |
+
"version_minor": 0
|
509 |
+
},
|
510 |
+
"text/plain": [
|
511 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
512 |
+
]
|
513 |
+
},
|
514 |
+
"metadata": {},
|
515 |
+
"output_type": "display_data"
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"data": {
|
519 |
+
"application/vnd.jupyter.widget-view+json": {
|
520 |
+
"model_id": "5e51138c239b440d9429d91b6d0a6821",
|
521 |
+
"version_major": 2,
|
522 |
+
"version_minor": 0
|
523 |
+
},
|
524 |
+
"text/plain": [
|
525 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
526 |
+
]
|
527 |
+
},
|
528 |
+
"metadata": {},
|
529 |
+
"output_type": "display_data"
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"data": {
|
533 |
+
"application/vnd.jupyter.widget-view+json": {
|
534 |
+
"model_id": "4ed8f6a909a94e0ab20539f3c0ea4f0f",
|
535 |
+
"version_major": 2,
|
536 |
+
"version_minor": 0
|
537 |
+
},
|
538 |
+
"text/plain": [
|
539 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
540 |
+
]
|
541 |
+
},
|
542 |
+
"metadata": {},
|
543 |
+
"output_type": "display_data"
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"data": {
|
547 |
+
"application/vnd.jupyter.widget-view+json": {
|
548 |
+
"model_id": "585861ee777b492aab04864dc278695d",
|
549 |
+
"version_major": 2,
|
550 |
+
"version_minor": 0
|
551 |
+
},
|
552 |
+
"text/plain": [
|
553 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
554 |
+
]
|
555 |
+
},
|
556 |
+
"metadata": {},
|
557 |
+
"output_type": "display_data"
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"data": {
|
561 |
+
"application/vnd.jupyter.widget-view+json": {
|
562 |
+
"model_id": "03a4b9378e534928a4194b057242d7e1",
|
563 |
+
"version_major": 2,
|
564 |
+
"version_minor": 0
|
565 |
+
},
|
566 |
+
"text/plain": [
|
567 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
568 |
+
]
|
569 |
+
},
|
570 |
+
"metadata": {},
|
571 |
+
"output_type": "display_data"
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"data": {
|
575 |
+
"application/vnd.jupyter.widget-view+json": {
|
576 |
+
"model_id": "4af428cb13244b199cd155553fa5ea42",
|
577 |
+
"version_major": 2,
|
578 |
+
"version_minor": 0
|
579 |
+
},
|
580 |
+
"text/plain": [
|
581 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
582 |
+
]
|
583 |
+
},
|
584 |
+
"metadata": {},
|
585 |
+
"output_type": "display_data"
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"data": {
|
589 |
+
"application/vnd.jupyter.widget-view+json": {
|
590 |
+
"model_id": "b1cfddba1df742e8a5131f0e07179348",
|
591 |
+
"version_major": 2,
|
592 |
+
"version_minor": 0
|
593 |
+
},
|
594 |
+
"text/plain": [
|
595 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
596 |
+
]
|
597 |
+
},
|
598 |
+
"metadata": {},
|
599 |
+
"output_type": "display_data"
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"data": {
|
603 |
+
"application/vnd.jupyter.widget-view+json": {
|
604 |
+
"model_id": "d1cfaa8ec32f436d8bbf56b62cdb2187",
|
605 |
+
"version_major": 2,
|
606 |
+
"version_minor": 0
|
607 |
+
},
|
608 |
+
"text/plain": [
|
609 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
610 |
+
]
|
611 |
+
},
|
612 |
+
"metadata": {},
|
613 |
+
"output_type": "display_data"
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"data": {
|
617 |
+
"application/vnd.jupyter.widget-view+json": {
|
618 |
+
"model_id": "c12dc8ef51b141c3bd130dca07c86fec",
|
619 |
+
"version_major": 2,
|
620 |
+
"version_minor": 0
|
621 |
+
},
|
622 |
+
"text/plain": [
|
623 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
624 |
+
]
|
625 |
+
},
|
626 |
+
"metadata": {},
|
627 |
+
"output_type": "display_data"
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"data": {
|
631 |
+
"application/vnd.jupyter.widget-view+json": {
|
632 |
+
"model_id": "9b3ffa11d0304d8cb0805c35710515e7",
|
633 |
+
"version_major": 2,
|
634 |
+
"version_minor": 0
|
635 |
+
},
|
636 |
+
"text/plain": [
|
637 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
638 |
+
]
|
639 |
+
},
|
640 |
+
"metadata": {},
|
641 |
+
"output_type": "display_data"
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"data": {
|
645 |
+
"application/vnd.jupyter.widget-view+json": {
|
646 |
+
"model_id": "fd4094b43d734a789d235edbf181e10c",
|
647 |
+
"version_major": 2,
|
648 |
+
"version_minor": 0
|
649 |
+
},
|
650 |
+
"text/plain": [
|
651 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
652 |
+
]
|
653 |
+
},
|
654 |
+
"metadata": {},
|
655 |
+
"output_type": "display_data"
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"data": {
|
659 |
+
"application/vnd.jupyter.widget-view+json": {
|
660 |
+
"model_id": "d041b08c49ff434a87031156643237f4",
|
661 |
+
"version_major": 2,
|
662 |
+
"version_minor": 0
|
663 |
+
},
|
664 |
+
"text/plain": [
|
665 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
666 |
+
]
|
667 |
+
},
|
668 |
+
"metadata": {},
|
669 |
+
"output_type": "display_data"
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"data": {
|
673 |
+
"application/vnd.jupyter.widget-view+json": {
|
674 |
+
"model_id": "0bd012b6a63b46bb921e89aecbd7645f",
|
675 |
+
"version_major": 2,
|
676 |
+
"version_minor": 0
|
677 |
+
},
|
678 |
+
"text/plain": [
|
679 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
680 |
+
]
|
681 |
+
},
|
682 |
+
"metadata": {},
|
683 |
+
"output_type": "display_data"
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"data": {
|
687 |
+
"application/vnd.jupyter.widget-view+json": {
|
688 |
+
"model_id": "d1e6ef5a3f944788a376a7d5722fdafc",
|
689 |
+
"version_major": 2,
|
690 |
+
"version_minor": 0
|
691 |
+
},
|
692 |
+
"text/plain": [
|
693 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
694 |
+
]
|
695 |
+
},
|
696 |
+
"metadata": {},
|
697 |
+
"output_type": "display_data"
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"data": {
|
701 |
+
"application/vnd.jupyter.widget-view+json": {
|
702 |
+
"model_id": "2aa999cab6324a1ea9e8e98be7d83e79",
|
703 |
+
"version_major": 2,
|
704 |
+
"version_minor": 0
|
705 |
+
},
|
706 |
+
"text/plain": [
|
707 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
708 |
+
]
|
709 |
+
},
|
710 |
+
"metadata": {},
|
711 |
+
"output_type": "display_data"
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"data": {
|
715 |
+
"application/vnd.jupyter.widget-view+json": {
|
716 |
+
"model_id": "1fa9041bd8e84cc89b5f9b52fb648a12",
|
717 |
+
"version_major": 2,
|
718 |
+
"version_minor": 0
|
719 |
+
},
|
720 |
+
"text/plain": [
|
721 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
722 |
+
]
|
723 |
+
},
|
724 |
+
"metadata": {},
|
725 |
+
"output_type": "display_data"
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"data": {
|
729 |
+
"application/vnd.jupyter.widget-view+json": {
|
730 |
+
"model_id": "e14469dd9608415fb9f92d5456fefc1d",
|
731 |
+
"version_major": 2,
|
732 |
+
"version_minor": 0
|
733 |
+
},
|
734 |
+
"text/plain": [
|
735 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
736 |
+
]
|
737 |
+
},
|
738 |
+
"metadata": {},
|
739 |
+
"output_type": "display_data"
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"data": {
|
743 |
+
"application/vnd.jupyter.widget-view+json": {
|
744 |
+
"model_id": "0a655d37bde341a68a9caac4d1cf214d",
|
745 |
+
"version_major": 2,
|
746 |
+
"version_minor": 0
|
747 |
+
},
|
748 |
+
"text/plain": [
|
749 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
750 |
+
]
|
751 |
+
},
|
752 |
+
"metadata": {},
|
753 |
+
"output_type": "display_data"
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"data": {
|
757 |
+
"application/vnd.jupyter.widget-view+json": {
|
758 |
+
"model_id": "342c6e5a110243769b34b0b80660dfc8",
|
759 |
+
"version_major": 2,
|
760 |
+
"version_minor": 0
|
761 |
+
},
|
762 |
+
"text/plain": [
|
763 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
764 |
+
]
|
765 |
+
},
|
766 |
+
"metadata": {},
|
767 |
+
"output_type": "display_data"
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"data": {
|
771 |
+
"application/vnd.jupyter.widget-view+json": {
|
772 |
+
"model_id": "b4bbcdd3ac4941f6b3a8a002ef810a8f",
|
773 |
+
"version_major": 2,
|
774 |
+
"version_minor": 0
|
775 |
+
},
|
776 |
+
"text/plain": [
|
777 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
778 |
+
]
|
779 |
+
},
|
780 |
+
"metadata": {},
|
781 |
+
"output_type": "display_data"
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"data": {
|
785 |
+
"application/vnd.jupyter.widget-view+json": {
|
786 |
+
"model_id": "745483eeab944b7386bb4055df775f54",
|
787 |
+
"version_major": 2,
|
788 |
+
"version_minor": 0
|
789 |
+
},
|
790 |
+
"text/plain": [
|
791 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
792 |
+
]
|
793 |
+
},
|
794 |
+
"metadata": {},
|
795 |
+
"output_type": "display_data"
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"data": {
|
799 |
+
"application/vnd.jupyter.widget-view+json": {
|
800 |
+
"model_id": "73bfc9548c1943609a018a0e1e6b5fdf",
|
801 |
+
"version_major": 2,
|
802 |
+
"version_minor": 0
|
803 |
+
},
|
804 |
+
"text/plain": [
|
805 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
806 |
+
]
|
807 |
+
},
|
808 |
+
"metadata": {},
|
809 |
+
"output_type": "display_data"
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"data": {
|
813 |
+
"application/vnd.jupyter.widget-view+json": {
|
814 |
+
"model_id": "c5083ad8d35a48dfa0962a5ed2c980cc",
|
815 |
+
"version_major": 2,
|
816 |
+
"version_minor": 0
|
817 |
+
},
|
818 |
+
"text/plain": [
|
819 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
820 |
+
]
|
821 |
+
},
|
822 |
+
"metadata": {},
|
823 |
+
"output_type": "display_data"
|
824 |
+
},
|
825 |
+
{
|
826 |
+
"data": {
|
827 |
+
"application/vnd.jupyter.widget-view+json": {
|
828 |
+
"model_id": "26adb28f05004ae58f8f42c6c6779eaa",
|
829 |
+
"version_major": 2,
|
830 |
+
"version_minor": 0
|
831 |
+
},
|
832 |
+
"text/plain": [
|
833 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
834 |
+
]
|
835 |
+
},
|
836 |
+
"metadata": {},
|
837 |
+
"output_type": "display_data"
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"data": {
|
841 |
+
"application/vnd.jupyter.widget-view+json": {
|
842 |
+
"model_id": "7404fcb254d240a5b8991e64908ac554",
|
843 |
+
"version_major": 2,
|
844 |
+
"version_minor": 0
|
845 |
+
},
|
846 |
+
"text/plain": [
|
847 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
848 |
+
]
|
849 |
+
},
|
850 |
+
"metadata": {},
|
851 |
+
"output_type": "display_data"
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"data": {
|
855 |
+
"application/vnd.jupyter.widget-view+json": {
|
856 |
+
"model_id": "eb195defd7994236864b7c285deb8eb3",
|
857 |
+
"version_major": 2,
|
858 |
+
"version_minor": 0
|
859 |
+
},
|
860 |
+
"text/plain": [
|
861 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
862 |
+
]
|
863 |
+
},
|
864 |
+
"metadata": {},
|
865 |
+
"output_type": "display_data"
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"data": {
|
869 |
+
"application/vnd.jupyter.widget-view+json": {
|
870 |
+
"model_id": "6cc0596f7e3441678baf3e0355845b92",
|
871 |
+
"version_major": 2,
|
872 |
+
"version_minor": 0
|
873 |
+
},
|
874 |
+
"text/plain": [
|
875 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
876 |
+
]
|
877 |
+
},
|
878 |
+
"metadata": {},
|
879 |
+
"output_type": "display_data"
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"data": {
|
883 |
+
"application/vnd.jupyter.widget-view+json": {
|
884 |
+
"model_id": "4a7fac0851f04e47aaed61ea05804813",
|
885 |
+
"version_major": 2,
|
886 |
+
"version_minor": 0
|
887 |
+
},
|
888 |
+
"text/plain": [
|
889 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
890 |
+
]
|
891 |
+
},
|
892 |
+
"metadata": {},
|
893 |
+
"output_type": "display_data"
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"data": {
|
897 |
+
"application/vnd.jupyter.widget-view+json": {
|
898 |
+
"model_id": "079d773b3eb44d8c8405feeea0fcff06",
|
899 |
+
"version_major": 2,
|
900 |
+
"version_minor": 0
|
901 |
+
},
|
902 |
+
"text/plain": [
|
903 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
904 |
+
]
|
905 |
+
},
|
906 |
+
"metadata": {},
|
907 |
+
"output_type": "display_data"
|
908 |
+
},
|
909 |
+
{
|
910 |
+
"data": {
|
911 |
+
"application/vnd.jupyter.widget-view+json": {
|
912 |
+
"model_id": "fea296f9d1a246c287f27f084a222ae0",
|
913 |
+
"version_major": 2,
|
914 |
+
"version_minor": 0
|
915 |
+
},
|
916 |
+
"text/plain": [
|
917 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
918 |
+
]
|
919 |
+
},
|
920 |
+
"metadata": {},
|
921 |
+
"output_type": "display_data"
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"data": {
|
925 |
+
"application/vnd.jupyter.widget-view+json": {
|
926 |
+
"model_id": "c7ed0fa9d5964d63a481a0f26c03eb25",
|
927 |
+
"version_major": 2,
|
928 |
+
"version_minor": 0
|
929 |
+
},
|
930 |
+
"text/plain": [
|
931 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
932 |
+
]
|
933 |
+
},
|
934 |
+
"metadata": {},
|
935 |
+
"output_type": "display_data"
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"data": {
|
939 |
+
"application/vnd.jupyter.widget-view+json": {
|
940 |
+
"model_id": "5b4a1772bf794ae79e1a2158e30933bb",
|
941 |
+
"version_major": 2,
|
942 |
+
"version_minor": 0
|
943 |
+
},
|
944 |
+
"text/plain": [
|
945 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
946 |
+
]
|
947 |
+
},
|
948 |
+
"metadata": {},
|
949 |
+
"output_type": "display_data"
|
950 |
+
},
|
951 |
+
{
|
952 |
+
"data": {
|
953 |
+
"application/vnd.jupyter.widget-view+json": {
|
954 |
+
"model_id": "a4238eb385434dba909f6f6b141509e5",
|
955 |
+
"version_major": 2,
|
956 |
+
"version_minor": 0
|
957 |
+
},
|
958 |
+
"text/plain": [
|
959 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
960 |
+
]
|
961 |
+
},
|
962 |
+
"metadata": {},
|
963 |
+
"output_type": "display_data"
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"data": {
|
967 |
+
"application/vnd.jupyter.widget-view+json": {
|
968 |
+
"model_id": "1f3a50f50ad541649c83cec9dc3c8429",
|
969 |
+
"version_major": 2,
|
970 |
+
"version_minor": 0
|
971 |
+
},
|
972 |
+
"text/plain": [
|
973 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
974 |
+
]
|
975 |
+
},
|
976 |
+
"metadata": {},
|
977 |
+
"output_type": "display_data"
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"data": {
|
981 |
+
"application/vnd.jupyter.widget-view+json": {
|
982 |
+
"model_id": "e319b03a62b64a7d9db8fc272af39239",
|
983 |
+
"version_major": 2,
|
984 |
+
"version_minor": 0
|
985 |
+
},
|
986 |
+
"text/plain": [
|
987 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
988 |
+
]
|
989 |
+
},
|
990 |
+
"metadata": {},
|
991 |
+
"output_type": "display_data"
|
992 |
+
},
|
993 |
+
{
|
994 |
+
"data": {
|
995 |
+
"application/vnd.jupyter.widget-view+json": {
|
996 |
+
"model_id": "6fc3a83731d8414bbf4ffe38f7dd8c1c",
|
997 |
+
"version_major": 2,
|
998 |
+
"version_minor": 0
|
999 |
+
},
|
1000 |
+
"text/plain": [
|
1001 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
1002 |
+
]
|
1003 |
+
},
|
1004 |
+
"metadata": {},
|
1005 |
+
"output_type": "display_data"
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"data": {
|
1009 |
+
"application/vnd.jupyter.widget-view+json": {
|
1010 |
+
"model_id": "b7d721915ff2481694648840b3406a9b",
|
1011 |
+
"version_major": 2,
|
1012 |
+
"version_minor": 0
|
1013 |
+
},
|
1014 |
+
"text/plain": [
|
1015 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
1016 |
+
]
|
1017 |
+
},
|
1018 |
+
"metadata": {},
|
1019 |
+
"output_type": "display_data"
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"data": {
|
1023 |
+
"application/vnd.jupyter.widget-view+json": {
|
1024 |
+
"model_id": "de062b28ff7b4565bad1431b74ea0b20",
|
1025 |
+
"version_major": 2,
|
1026 |
+
"version_minor": 0
|
1027 |
+
},
|
1028 |
+
"text/plain": [
|
1029 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
1030 |
+
]
|
1031 |
+
},
|
1032 |
+
"metadata": {},
|
1033 |
+
"output_type": "display_data"
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"data": {
|
1037 |
+
"application/vnd.jupyter.widget-view+json": {
|
1038 |
+
"model_id": "9d2ec7343742415d8a26ece576037c80",
|
1039 |
+
"version_major": 2,
|
1040 |
+
"version_minor": 0
|
1041 |
+
},
|
1042 |
+
"text/plain": [
|
1043 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
1044 |
+
]
|
1045 |
+
},
|
1046 |
+
"metadata": {},
|
1047 |
+
"output_type": "display_data"
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"data": {
|
1051 |
+
"application/vnd.jupyter.widget-view+json": {
|
1052 |
+
"model_id": "595bd3c79c0f4abeb64784f8bae56118",
|
1053 |
+
"version_major": 2,
|
1054 |
+
"version_minor": 0
|
1055 |
+
},
|
1056 |
+
"text/plain": [
|
1057 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
1058 |
+
]
|
1059 |
+
},
|
1060 |
+
"metadata": {},
|
1061 |
+
"output_type": "display_data"
|
1062 |
+
},
|
1063 |
+
{
|
1064 |
+
"data": {
|
1065 |
+
"application/vnd.jupyter.widget-view+json": {
|
1066 |
+
"model_id": "c55ddf2211994ed38c06cef748359141",
|
1067 |
+
"version_major": 2,
|
1068 |
+
"version_minor": 0
|
1069 |
+
},
|
1070 |
+
"text/plain": [
|
1071 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
1072 |
+
]
|
1073 |
+
},
|
1074 |
+
"metadata": {},
|
1075 |
+
"output_type": "display_data"
|
1076 |
+
},
|
1077 |
+
{
|
1078 |
+
"data": {
|
1079 |
+
"application/vnd.jupyter.widget-view+json": {
|
1080 |
+
"model_id": "c1755621efda4e6cbcb3210ce0700740",
|
1081 |
+
"version_major": 2,
|
1082 |
+
"version_minor": 0
|
1083 |
+
},
|
1084 |
+
"text/plain": [
|
1085 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
1086 |
+
]
|
1087 |
+
},
|
1088 |
+
"metadata": {},
|
1089 |
+
"output_type": "display_data"
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"data": {
|
1093 |
+
"application/vnd.jupyter.widget-view+json": {
|
1094 |
+
"model_id": "b420c523119246a2b8b87109cb753f71",
|
1095 |
+
"version_major": 2,
|
1096 |
+
"version_minor": 0
|
1097 |
+
},
|
1098 |
+
"text/plain": [
|
1099 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
1100 |
+
]
|
1101 |
+
},
|
1102 |
+
"metadata": {},
|
1103 |
+
"output_type": "display_data"
|
1104 |
+
},
|
1105 |
+
{
|
1106 |
+
"data": {
|
1107 |
+
"application/vnd.jupyter.widget-view+json": {
|
1108 |
+
"model_id": "370cb7ca70e24dda9828e979414889e7",
|
1109 |
+
"version_major": 2,
|
1110 |
+
"version_minor": 0
|
1111 |
+
},
|
1112 |
+
"text/plain": [
|
1113 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
1114 |
+
]
|
1115 |
+
},
|
1116 |
+
"metadata": {},
|
1117 |
+
"output_type": "display_data"
|
1118 |
+
},
|
1119 |
+
{
|
1120 |
+
"data": {
|
1121 |
+
"application/vnd.jupyter.widget-view+json": {
|
1122 |
+
"model_id": "2432fca19aae44148f3bc738a438e5e8",
|
1123 |
+
"version_major": 2,
|
1124 |
+
"version_minor": 0
|
1125 |
+
},
|
1126 |
+
"text/plain": [
|
1127 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
1128 |
+
]
|
1129 |
+
},
|
1130 |
+
"metadata": {},
|
1131 |
+
"output_type": "display_data"
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"data": {
|
1135 |
+
"application/vnd.jupyter.widget-view+json": {
|
1136 |
+
"model_id": "2872d5823cfc4cd9bd43559061ab3ee9",
|
1137 |
+
"version_major": 2,
|
1138 |
+
"version_minor": 0
|
1139 |
+
},
|
1140 |
+
"text/plain": [
|
1141 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
1142 |
+
]
|
1143 |
+
},
|
1144 |
+
"metadata": {},
|
1145 |
+
"output_type": "display_data"
|
1146 |
+
},
|
1147 |
+
{
|
1148 |
+
"data": {
|
1149 |
+
"application/vnd.jupyter.widget-view+json": {
|
1150 |
+
"model_id": "4d6b2c09ebef48a48899dd85b7a79f0f",
|
1151 |
+
"version_major": 2,
|
1152 |
+
"version_minor": 0
|
1153 |
+
},
|
1154 |
+
"text/plain": [
|
1155 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
1156 |
+
]
|
1157 |
+
},
|
1158 |
+
"metadata": {},
|
1159 |
+
"output_type": "display_data"
|
1160 |
+
},
|
1161 |
+
{
|
1162 |
+
"data": {
|
1163 |
+
"application/vnd.jupyter.widget-view+json": {
|
1164 |
+
"model_id": "0f195128ff174d9a8cb89c9dfa0aaceb",
|
1165 |
+
"version_major": 2,
|
1166 |
+
"version_minor": 0
|
1167 |
+
},
|
1168 |
+
"text/plain": [
|
1169 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1170 |
+
]
|
1171 |
+
},
|
1172 |
+
"metadata": {},
|
1173 |
+
"output_type": "display_data"
|
1174 |
+
},
|
1175 |
+
{
|
1176 |
+
"data": {
|
1177 |
+
"application/vnd.jupyter.widget-view+json": {
|
1178 |
+
"model_id": "692232617a064dd9860a1cd5df4ce32f",
|
1179 |
+
"version_major": 2,
|
1180 |
+
"version_minor": 0
|
1181 |
+
},
|
1182 |
+
"text/plain": [
|
1183 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1184 |
+
]
|
1185 |
+
},
|
1186 |
+
"metadata": {},
|
1187 |
+
"output_type": "display_data"
|
1188 |
+
},
|
1189 |
+
{
|
1190 |
+
"data": {
|
1191 |
+
"application/vnd.jupyter.widget-view+json": {
|
1192 |
+
"model_id": "a9d30c593850434f864d1af1a3b994f2",
|
1193 |
+
"version_major": 2,
|
1194 |
+
"version_minor": 0
|
1195 |
+
},
|
1196 |
+
"text/plain": [
|
1197 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1198 |
+
]
|
1199 |
+
},
|
1200 |
+
"metadata": {},
|
1201 |
+
"output_type": "display_data"
|
1202 |
+
},
|
1203 |
+
{
|
1204 |
+
"data": {
|
1205 |
+
"application/vnd.jupyter.widget-view+json": {
|
1206 |
+
"model_id": "411d0307009b405f886a56f7796b0ed3",
|
1207 |
+
"version_major": 2,
|
1208 |
+
"version_minor": 0
|
1209 |
+
},
|
1210 |
+
"text/plain": [
|
1211 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1212 |
+
]
|
1213 |
+
},
|
1214 |
+
"metadata": {},
|
1215 |
+
"output_type": "display_data"
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"data": {
|
1219 |
+
"application/vnd.jupyter.widget-view+json": {
|
1220 |
+
"model_id": "cc9bbdf3cf224e089728787dee46d548",
|
1221 |
+
"version_major": 2,
|
1222 |
+
"version_minor": 0
|
1223 |
+
},
|
1224 |
+
"text/plain": [
|
1225 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1226 |
+
]
|
1227 |
+
},
|
1228 |
+
"metadata": {},
|
1229 |
+
"output_type": "display_data"
|
1230 |
+
},
|
1231 |
+
{
|
1232 |
+
"data": {
|
1233 |
+
"application/vnd.jupyter.widget-view+json": {
|
1234 |
+
"model_id": "a642fa3cc7464d15b053c23df8d37c6f",
|
1235 |
+
"version_major": 2,
|
1236 |
+
"version_minor": 0
|
1237 |
+
},
|
1238 |
+
"text/plain": [
|
1239 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1240 |
+
]
|
1241 |
+
},
|
1242 |
+
"metadata": {},
|
1243 |
+
"output_type": "display_data"
|
1244 |
+
},
|
1245 |
+
{
|
1246 |
+
"data": {
|
1247 |
+
"application/vnd.jupyter.widget-view+json": {
|
1248 |
+
"model_id": "30a144a859f548b3a76e6c59fa8a515f",
|
1249 |
+
"version_major": 2,
|
1250 |
+
"version_minor": 0
|
1251 |
+
},
|
1252 |
+
"text/plain": [
|
1253 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1254 |
+
]
|
1255 |
+
},
|
1256 |
+
"metadata": {},
|
1257 |
+
"output_type": "display_data"
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"data": {
|
1261 |
+
"application/vnd.jupyter.widget-view+json": {
|
1262 |
+
"model_id": "203a1a96b9c14ca38203de519179f352",
|
1263 |
+
"version_major": 2,
|
1264 |
+
"version_minor": 0
|
1265 |
+
},
|
1266 |
+
"text/plain": [
|
1267 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1268 |
+
]
|
1269 |
+
},
|
1270 |
+
"metadata": {},
|
1271 |
+
"output_type": "display_data"
|
1272 |
+
},
|
1273 |
+
{
|
1274 |
+
"data": {
|
1275 |
+
"application/vnd.jupyter.widget-view+json": {
|
1276 |
+
"model_id": "450527920aa246cfafdebfd182202123",
|
1277 |
+
"version_major": 2,
|
1278 |
+
"version_minor": 0
|
1279 |
+
},
|
1280 |
+
"text/plain": [
|
1281 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1282 |
+
]
|
1283 |
+
},
|
1284 |
+
"metadata": {},
|
1285 |
+
"output_type": "display_data"
|
1286 |
+
},
|
1287 |
+
{
|
1288 |
+
"data": {
|
1289 |
+
"application/vnd.jupyter.widget-view+json": {
|
1290 |
+
"model_id": "fa3a9e4d2e43421c9181d7df03c26efb",
|
1291 |
+
"version_major": 2,
|
1292 |
+
"version_minor": 0
|
1293 |
+
},
|
1294 |
+
"text/plain": [
|
1295 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1296 |
+
]
|
1297 |
+
},
|
1298 |
+
"metadata": {},
|
1299 |
+
"output_type": "display_data"
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"data": {
|
1303 |
+
"application/vnd.jupyter.widget-view+json": {
|
1304 |
+
"model_id": "aedc310b545f49d5b6e61bd6fed89df0",
|
1305 |
+
"version_major": 2,
|
1306 |
+
"version_minor": 0
|
1307 |
+
},
|
1308 |
+
"text/plain": [
|
1309 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1310 |
+
]
|
1311 |
+
},
|
1312 |
+
"metadata": {},
|
1313 |
+
"output_type": "display_data"
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"data": {
|
1317 |
+
"application/vnd.jupyter.widget-view+json": {
|
1318 |
+
"model_id": "52119927d289445fac224ecf89ab3f04",
|
1319 |
+
"version_major": 2,
|
1320 |
+
"version_minor": 0
|
1321 |
+
},
|
1322 |
+
"text/plain": [
|
1323 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1324 |
+
]
|
1325 |
+
},
|
1326 |
+
"metadata": {},
|
1327 |
+
"output_type": "display_data"
|
1328 |
+
},
|
1329 |
+
{
|
1330 |
+
"data": {
|
1331 |
+
"application/vnd.jupyter.widget-view+json": {
|
1332 |
+
"model_id": "b7934c7e27a34393852b8e206b02395a",
|
1333 |
+
"version_major": 2,
|
1334 |
+
"version_minor": 0
|
1335 |
+
},
|
1336 |
+
"text/plain": [
|
1337 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1338 |
+
]
|
1339 |
+
},
|
1340 |
+
"metadata": {},
|
1341 |
+
"output_type": "display_data"
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"data": {
|
1345 |
+
"application/vnd.jupyter.widget-view+json": {
|
1346 |
+
"model_id": "59a82cc8caa7439b8bcfaaf49723ee80",
|
1347 |
+
"version_major": 2,
|
1348 |
+
"version_minor": 0
|
1349 |
+
},
|
1350 |
+
"text/plain": [
|
1351 |
+
"epoch=63-step=2304.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1352 |
+
]
|
1353 |
+
},
|
1354 |
+
"metadata": {},
|
1355 |
+
"output_type": "display_data"
|
1356 |
+
},
|
1357 |
+
{
|
1358 |
+
"data": {
|
1359 |
+
"application/vnd.jupyter.widget-view+json": {
|
1360 |
+
"model_id": "c76ffaec548b4c85b620bf664171a000",
|
1361 |
+
"version_major": 2,
|
1362 |
+
"version_minor": 0
|
1363 |
+
},
|
1364 |
+
"text/plain": [
|
1365 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1366 |
+
]
|
1367 |
+
},
|
1368 |
+
"metadata": {},
|
1369 |
+
"output_type": "display_data"
|
1370 |
+
},
|
1371 |
+
{
|
1372 |
+
"data": {
|
1373 |
+
"application/vnd.jupyter.widget-view+json": {
|
1374 |
+
"model_id": "1c2ae6de513e4a33886d20430e21826e",
|
1375 |
+
"version_major": 2,
|
1376 |
+
"version_minor": 0
|
1377 |
+
},
|
1378 |
+
"text/plain": [
|
1379 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1380 |
+
]
|
1381 |
+
},
|
1382 |
+
"metadata": {},
|
1383 |
+
"output_type": "display_data"
|
1384 |
+
},
|
1385 |
+
{
|
1386 |
+
"data": {
|
1387 |
+
"application/vnd.jupyter.widget-view+json": {
|
1388 |
+
"model_id": "cf11413f3aa54ccd803593ce2c41b1b7",
|
1389 |
+
"version_major": 2,
|
1390 |
+
"version_minor": 0
|
1391 |
+
},
|
1392 |
+
"text/plain": [
|
1393 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1394 |
+
]
|
1395 |
+
},
|
1396 |
+
"metadata": {},
|
1397 |
+
"output_type": "display_data"
|
1398 |
+
},
|
1399 |
+
{
|
1400 |
+
"data": {
|
1401 |
+
"application/vnd.jupyter.widget-view+json": {
|
1402 |
+
"model_id": "cfc5384aaa074f56a1f2155f7d9d82ea",
|
1403 |
+
"version_major": 2,
|
1404 |
+
"version_minor": 0
|
1405 |
+
},
|
1406 |
+
"text/plain": [
|
1407 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1408 |
+
]
|
1409 |
+
},
|
1410 |
+
"metadata": {},
|
1411 |
+
"output_type": "display_data"
|
1412 |
+
},
|
1413 |
+
{
|
1414 |
+
"data": {
|
1415 |
+
"application/vnd.jupyter.widget-view+json": {
|
1416 |
+
"model_id": "8fd48458b70144bd8ea7683b0aa5c2cd",
|
1417 |
+
"version_major": 2,
|
1418 |
+
"version_minor": 0
|
1419 |
+
},
|
1420 |
+
"text/plain": [
|
1421 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1422 |
+
]
|
1423 |
+
},
|
1424 |
+
"metadata": {},
|
1425 |
+
"output_type": "display_data"
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"data": {
|
1429 |
+
"application/vnd.jupyter.widget-view+json": {
|
1430 |
+
"model_id": "8603e8b991f14a17bfa11d86a5f7610d",
|
1431 |
+
"version_major": 2,
|
1432 |
+
"version_minor": 0
|
1433 |
+
},
|
1434 |
+
"text/plain": [
|
1435 |
+
"epoch=199-step=7200-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1436 |
+
]
|
1437 |
+
},
|
1438 |
+
"metadata": {},
|
1439 |
+
"output_type": "display_data"
|
1440 |
+
},
|
1441 |
+
{
|
1442 |
+
"data": {
|
1443 |
+
"application/vnd.jupyter.widget-view+json": {
|
1444 |
+
"model_id": "b8ebcd5efb8d4e31bbbbedd2218629b6",
|
1445 |
+
"version_major": 2,
|
1446 |
+
"version_minor": 0
|
1447 |
+
},
|
1448 |
+
"text/plain": [
|
1449 |
+
"epoch=199-step=7200-v2.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1450 |
+
]
|
1451 |
+
},
|
1452 |
+
"metadata": {},
|
1453 |
+
"output_type": "display_data"
|
1454 |
+
},
|
1455 |
+
{
|
1456 |
+
"data": {
|
1457 |
+
"application/vnd.jupyter.widget-view+json": {
|
1458 |
+
"model_id": "16fcfe1bb4a04313a3c879d1a4c0499e",
|
1459 |
+
"version_major": 2,
|
1460 |
+
"version_minor": 0
|
1461 |
+
},
|
1462 |
+
"text/plain": [
|
1463 |
+
"epoch=199-step=7200-v3.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1464 |
+
]
|
1465 |
+
},
|
1466 |
+
"metadata": {},
|
1467 |
+
"output_type": "display_data"
|
1468 |
+
},
|
1469 |
+
{
|
1470 |
+
"data": {
|
1471 |
+
"application/vnd.jupyter.widget-view+json": {
|
1472 |
+
"model_id": "2de1f0506d22445b9736b5f1e338faa2",
|
1473 |
+
"version_major": 2,
|
1474 |
+
"version_minor": 0
|
1475 |
+
},
|
1476 |
+
"text/plain": [
|
1477 |
+
"epoch=199-step=7200-v4.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1478 |
+
]
|
1479 |
+
},
|
1480 |
+
"metadata": {},
|
1481 |
+
"output_type": "display_data"
|
1482 |
+
},
|
1483 |
+
{
|
1484 |
+
"data": {
|
1485 |
+
"application/vnd.jupyter.widget-view+json": {
|
1486 |
+
"model_id": "e04fa9e92c02420ab0657e0149fc2634",
|
1487 |
+
"version_major": 2,
|
1488 |
+
"version_minor": 0
|
1489 |
+
},
|
1490 |
+
"text/plain": [
|
1491 |
+
"epoch=199-step=7200.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
1492 |
+
]
|
1493 |
+
},
|
1494 |
+
"metadata": {},
|
1495 |
+
"output_type": "display_data"
|
1496 |
+
},
|
1497 |
+
{
|
1498 |
+
"data": {
|
1499 |
+
"application/vnd.jupyter.widget-view+json": {
|
1500 |
+
"model_id": "64391ac611124eb2ac68c829cd2d8688",
|
1501 |
+
"version_major": 2,
|
1502 |
+
"version_minor": 0
|
1503 |
+
},
|
1504 |
+
"text/plain": [
|
1505 |
+
"epoch=0-step=35-v1.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
1506 |
+
]
|
1507 |
+
},
|
1508 |
+
"metadata": {},
|
1509 |
+
"output_type": "display_data"
|
1510 |
+
},
|
1511 |
+
{
|
1512 |
+
"data": {
|
1513 |
+
"application/vnd.jupyter.widget-view+json": {
|
1514 |
+
"model_id": "e736ff85fd33456bb0a1a93fd37f2bc5",
|
1515 |
+
"version_major": 2,
|
1516 |
+
"version_minor": 0
|
1517 |
+
},
|
1518 |
+
"text/plain": [
|
1519 |
+
"epoch=0-step=35.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
1520 |
+
]
|
1521 |
+
},
|
1522 |
+
"metadata": {},
|
1523 |
+
"output_type": "display_data"
|
1524 |
+
},
|
1525 |
+
{
|
1526 |
+
"data": {
|
1527 |
+
"application/vnd.jupyter.widget-view+json": {
|
1528 |
+
"model_id": "4af70feadc6649a08b152107398fe84f",
|
1529 |
+
"version_major": 2,
|
1530 |
+
"version_minor": 0
|
1531 |
+
},
|
1532 |
+
"text/plain": [
|
1533 |
+
"epoch=199-step=7000-v1.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
1534 |
+
]
|
1535 |
+
},
|
1536 |
+
"metadata": {},
|
1537 |
+
"output_type": "display_data"
|
1538 |
+
},
|
1539 |
+
{
|
1540 |
+
"data": {
|
1541 |
+
"application/vnd.jupyter.widget-view+json": {
|
1542 |
+
"model_id": "3325f50bf798441883b1408adf9bcbfd",
|
1543 |
+
"version_major": 2,
|
1544 |
+
"version_minor": 0
|
1545 |
+
},
|
1546 |
+
"text/plain": [
|
1547 |
+
"epoch=199-step=7000-v2.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
1548 |
+
]
|
1549 |
+
},
|
1550 |
+
"metadata": {},
|
1551 |
+
"output_type": "display_data"
|
1552 |
+
},
|
1553 |
+
{
|
1554 |
+
"data": {
|
1555 |
+
"application/vnd.jupyter.widget-view+json": {
|
1556 |
+
"model_id": "325d52fa2da24a629ea6fb8701e834c6",
|
1557 |
+
"version_major": 2,
|
1558 |
+
"version_minor": 0
|
1559 |
+
},
|
1560 |
+
"text/plain": [
|
1561 |
+
"epoch=199-step=7000-v3.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
1562 |
+
]
|
1563 |
+
},
|
1564 |
+
"metadata": {},
|
1565 |
+
"output_type": "display_data"
|
1566 |
+
},
|
1567 |
+
{
|
1568 |
+
"data": {
|
1569 |
+
"application/vnd.jupyter.widget-view+json": {
|
1570 |
+
"model_id": "431075a8fa994796a3bffd1e0a1264f9",
|
1571 |
+
"version_major": 2,
|
1572 |
+
"version_minor": 0
|
1573 |
+
},
|
1574 |
+
"text/plain": [
|
1575 |
+
"epoch=199-step=7000-v4.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
1576 |
+
]
|
1577 |
+
},
|
1578 |
+
"metadata": {},
|
1579 |
+
"output_type": "display_data"
|
1580 |
+
},
|
1581 |
+
{
|
1582 |
+
"data": {
|
1583 |
+
"application/vnd.jupyter.widget-view+json": {
|
1584 |
+
"model_id": "9851f0234c9741f98a548baff3adc3eb",
|
1585 |
+
"version_major": 2,
|
1586 |
+
"version_minor": 0
|
1587 |
+
},
|
1588 |
+
"text/plain": [
|
1589 |
+
"epoch=199-step=7000.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
1590 |
+
]
|
1591 |
+
},
|
1592 |
+
"metadata": {},
|
1593 |
+
"output_type": "display_data"
|
1594 |
+
},
|
1595 |
+
{
|
1596 |
+
"data": {
|
1597 |
+
"application/vnd.jupyter.widget-view+json": {
|
1598 |
+
"model_id": "f13ce9c7df3a4cb084ca00708f7a3446",
|
1599 |
+
"version_major": 2,
|
1600 |
+
"version_minor": 0
|
1601 |
+
},
|
1602 |
+
"text/plain": [
|
1603 |
+
"epoch=0-step=35-v1.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1604 |
+
]
|
1605 |
+
},
|
1606 |
+
"metadata": {},
|
1607 |
+
"output_type": "display_data"
|
1608 |
+
},
|
1609 |
+
{
|
1610 |
+
"data": {
|
1611 |
+
"application/vnd.jupyter.widget-view+json": {
|
1612 |
+
"model_id": "3dc68fb32d3e4929860198eed90efc7f",
|
1613 |
+
"version_major": 2,
|
1614 |
+
"version_minor": 0
|
1615 |
+
},
|
1616 |
+
"text/plain": [
|
1617 |
+
"epoch=0-step=35-v10.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1618 |
+
]
|
1619 |
+
},
|
1620 |
+
"metadata": {},
|
1621 |
+
"output_type": "display_data"
|
1622 |
+
},
|
1623 |
+
{
|
1624 |
+
"data": {
|
1625 |
+
"application/vnd.jupyter.widget-view+json": {
|
1626 |
+
"model_id": "4e0f3e00ddd74bae9cb6b205315e823a",
|
1627 |
+
"version_major": 2,
|
1628 |
+
"version_minor": 0
|
1629 |
+
},
|
1630 |
+
"text/plain": [
|
1631 |
+
"epoch=0-step=35-v2.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1632 |
+
]
|
1633 |
+
},
|
1634 |
+
"metadata": {},
|
1635 |
+
"output_type": "display_data"
|
1636 |
+
},
|
1637 |
+
{
|
1638 |
+
"data": {
|
1639 |
+
"application/vnd.jupyter.widget-view+json": {
|
1640 |
+
"model_id": "d9f577a78aae49228ef7d9d394ab5456",
|
1641 |
+
"version_major": 2,
|
1642 |
+
"version_minor": 0
|
1643 |
+
},
|
1644 |
+
"text/plain": [
|
1645 |
+
"epoch=0-step=35-v3.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1646 |
+
]
|
1647 |
+
},
|
1648 |
+
"metadata": {},
|
1649 |
+
"output_type": "display_data"
|
1650 |
+
},
|
1651 |
+
{
|
1652 |
+
"data": {
|
1653 |
+
"application/vnd.jupyter.widget-view+json": {
|
1654 |
+
"model_id": "287c2a39c5314bdcb5e1cd76289519e4",
|
1655 |
+
"version_major": 2,
|
1656 |
+
"version_minor": 0
|
1657 |
+
},
|
1658 |
+
"text/plain": [
|
1659 |
+
"epoch=0-step=35-v4.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1660 |
+
]
|
1661 |
+
},
|
1662 |
+
"metadata": {},
|
1663 |
+
"output_type": "display_data"
|
1664 |
+
},
|
1665 |
+
{
|
1666 |
+
"data": {
|
1667 |
+
"application/vnd.jupyter.widget-view+json": {
|
1668 |
+
"model_id": "4ce33e9a19b845e1a11dd3fc1a92ce89",
|
1669 |
+
"version_major": 2,
|
1670 |
+
"version_minor": 0
|
1671 |
+
},
|
1672 |
+
"text/plain": [
|
1673 |
+
"epoch=0-step=35-v5.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1674 |
+
]
|
1675 |
+
},
|
1676 |
+
"metadata": {},
|
1677 |
+
"output_type": "display_data"
|
1678 |
+
},
|
1679 |
+
{
|
1680 |
+
"data": {
|
1681 |
+
"application/vnd.jupyter.widget-view+json": {
|
1682 |
+
"model_id": "4a22b1dfc33f47379436e148f1822243",
|
1683 |
+
"version_major": 2,
|
1684 |
+
"version_minor": 0
|
1685 |
+
},
|
1686 |
+
"text/plain": [
|
1687 |
+
"epoch=0-step=35-v6.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1688 |
+
]
|
1689 |
+
},
|
1690 |
+
"metadata": {},
|
1691 |
+
"output_type": "display_data"
|
1692 |
+
},
|
1693 |
+
{
|
1694 |
+
"data": {
|
1695 |
+
"application/vnd.jupyter.widget-view+json": {
|
1696 |
+
"model_id": "fa0f6c9b70a64ff9836dfcd9fcb0ae3f",
|
1697 |
+
"version_major": 2,
|
1698 |
+
"version_minor": 0
|
1699 |
+
},
|
1700 |
+
"text/plain": [
|
1701 |
+
"epoch=0-step=35-v7.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1702 |
+
]
|
1703 |
+
},
|
1704 |
+
"metadata": {},
|
1705 |
+
"output_type": "display_data"
|
1706 |
+
},
|
1707 |
+
{
|
1708 |
+
"data": {
|
1709 |
+
"application/vnd.jupyter.widget-view+json": {
|
1710 |
+
"model_id": "f4732329ea1e40a3a0129e0a30dc7fb1",
|
1711 |
+
"version_major": 2,
|
1712 |
+
"version_minor": 0
|
1713 |
+
},
|
1714 |
+
"text/plain": [
|
1715 |
+
"epoch=0-step=35-v8.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1716 |
+
]
|
1717 |
+
},
|
1718 |
+
"metadata": {},
|
1719 |
+
"output_type": "display_data"
|
1720 |
+
},
|
1721 |
+
{
|
1722 |
+
"data": {
|
1723 |
+
"application/vnd.jupyter.widget-view+json": {
|
1724 |
+
"model_id": "cc53af4b89124a87b4de881e04559f61",
|
1725 |
+
"version_major": 2,
|
1726 |
+
"version_minor": 0
|
1727 |
+
},
|
1728 |
+
"text/plain": [
|
1729 |
+
"epoch=0-step=35-v9.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1730 |
+
]
|
1731 |
+
},
|
1732 |
+
"metadata": {},
|
1733 |
+
"output_type": "display_data"
|
1734 |
+
},
|
1735 |
+
{
|
1736 |
+
"data": {
|
1737 |
+
"application/vnd.jupyter.widget-view+json": {
|
1738 |
+
"model_id": "2aea2aae1f9c4570a8ebac26d26efd51",
|
1739 |
+
"version_major": 2,
|
1740 |
+
"version_minor": 0
|
1741 |
+
},
|
1742 |
+
"text/plain": [
|
1743 |
+
"epoch=0-step=35.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1744 |
+
]
|
1745 |
+
},
|
1746 |
+
"metadata": {},
|
1747 |
+
"output_type": "display_data"
|
1748 |
+
},
|
1749 |
+
{
|
1750 |
+
"data": {
|
1751 |
+
"application/vnd.jupyter.widget-view+json": {
|
1752 |
+
"model_id": "c40d7e6351324c6fa68788cd0912e9e5",
|
1753 |
+
"version_major": 2,
|
1754 |
+
"version_minor": 0
|
1755 |
+
},
|
1756 |
+
"text/plain": [
|
1757 |
+
"epoch=199-step=7000-v1.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1758 |
+
]
|
1759 |
+
},
|
1760 |
+
"metadata": {},
|
1761 |
+
"output_type": "display_data"
|
1762 |
+
},
|
1763 |
+
{
|
1764 |
+
"data": {
|
1765 |
+
"application/vnd.jupyter.widget-view+json": {
|
1766 |
+
"model_id": "5a6ee08025cc48ad90b2194a206703f4",
|
1767 |
+
"version_major": 2,
|
1768 |
+
"version_minor": 0
|
1769 |
+
},
|
1770 |
+
"text/plain": [
|
1771 |
+
"epoch=199-step=7000-v2.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1772 |
+
]
|
1773 |
+
},
|
1774 |
+
"metadata": {},
|
1775 |
+
"output_type": "display_data"
|
1776 |
+
},
|
1777 |
+
{
|
1778 |
+
"data": {
|
1779 |
+
"application/vnd.jupyter.widget-view+json": {
|
1780 |
+
"model_id": "9791b9154c4c49878e21c94a89882822",
|
1781 |
+
"version_major": 2,
|
1782 |
+
"version_minor": 0
|
1783 |
+
},
|
1784 |
+
"text/plain": [
|
1785 |
+
"epoch=199-step=7000-v3.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1786 |
+
]
|
1787 |
+
},
|
1788 |
+
"metadata": {},
|
1789 |
+
"output_type": "display_data"
|
1790 |
+
},
|
1791 |
+
{
|
1792 |
+
"data": {
|
1793 |
+
"application/vnd.jupyter.widget-view+json": {
|
1794 |
+
"model_id": "9cdf5852702b4acd9d12a37d0d4a6ee6",
|
1795 |
+
"version_major": 2,
|
1796 |
+
"version_minor": 0
|
1797 |
+
},
|
1798 |
+
"text/plain": [
|
1799 |
+
"epoch=199-step=7000-v4.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1800 |
+
]
|
1801 |
+
},
|
1802 |
+
"metadata": {},
|
1803 |
+
"output_type": "display_data"
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"data": {
|
1807 |
+
"application/vnd.jupyter.widget-view+json": {
|
1808 |
+
"model_id": "04dbcc846c7a4fc6afaa407fa43d6329",
|
1809 |
+
"version_major": 2,
|
1810 |
+
"version_minor": 0
|
1811 |
+
},
|
1812 |
+
"text/plain": [
|
1813 |
+
"epoch=199-step=7000.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
1814 |
+
]
|
1815 |
+
},
|
1816 |
+
"metadata": {},
|
1817 |
+
"output_type": "display_data"
|
1818 |
+
},
|
1819 |
+
{
|
1820 |
+
"data": {
|
1821 |
+
"application/vnd.jupyter.widget-view+json": {
|
1822 |
+
"model_id": "24001a2254c6451b833ef4c8e0e6c440",
|
1823 |
+
"version_major": 2,
|
1824 |
+
"version_minor": 0
|
1825 |
+
},
|
1826 |
+
"text/plain": [
|
1827 |
+
"epoch=0-step=35-v1.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
1828 |
+
]
|
1829 |
+
},
|
1830 |
+
"metadata": {},
|
1831 |
+
"output_type": "display_data"
|
1832 |
+
},
|
1833 |
+
{
|
1834 |
+
"data": {
|
1835 |
+
"application/vnd.jupyter.widget-view+json": {
|
1836 |
+
"model_id": "bb3673737c8347ee905e4e561d260cd1",
|
1837 |
+
"version_major": 2,
|
1838 |
+
"version_minor": 0
|
1839 |
+
},
|
1840 |
+
"text/plain": [
|
1841 |
+
"epoch=0-step=35-v2.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
1842 |
+
]
|
1843 |
+
},
|
1844 |
+
"metadata": {},
|
1845 |
+
"output_type": "display_data"
|
1846 |
+
},
|
1847 |
+
{
|
1848 |
+
"data": {
|
1849 |
+
"application/vnd.jupyter.widget-view+json": {
|
1850 |
+
"model_id": "c27bd172adef415bb94947846d7265df",
|
1851 |
+
"version_major": 2,
|
1852 |
+
"version_minor": 0
|
1853 |
+
},
|
1854 |
+
"text/plain": [
|
1855 |
+
"epoch=0-step=35.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
1856 |
+
]
|
1857 |
+
},
|
1858 |
+
"metadata": {},
|
1859 |
+
"output_type": "display_data"
|
1860 |
+
},
|
1861 |
+
{
|
1862 |
+
"data": {
|
1863 |
+
"application/vnd.jupyter.widget-view+json": {
|
1864 |
+
"model_id": "ff8d41b8fe74475ea21e3fc32149c34a",
|
1865 |
+
"version_major": 2,
|
1866 |
+
"version_minor": 0
|
1867 |
+
},
|
1868 |
+
"text/plain": [
|
1869 |
+
"epoch=199-step=7000-v1.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
1870 |
+
]
|
1871 |
+
},
|
1872 |
+
"metadata": {},
|
1873 |
+
"output_type": "display_data"
|
1874 |
+
},
|
1875 |
+
{
|
1876 |
+
"data": {
|
1877 |
+
"application/vnd.jupyter.widget-view+json": {
|
1878 |
+
"model_id": "ff00d3662ee14cb0b43c7d19b8d2f7ab",
|
1879 |
+
"version_major": 2,
|
1880 |
+
"version_minor": 0
|
1881 |
+
},
|
1882 |
+
"text/plain": [
|
1883 |
+
"epoch=199-step=7000-v2.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
1884 |
+
]
|
1885 |
+
},
|
1886 |
+
"metadata": {},
|
1887 |
+
"output_type": "display_data"
|
1888 |
+
},
|
1889 |
+
{
|
1890 |
+
"data": {
|
1891 |
+
"application/vnd.jupyter.widget-view+json": {
|
1892 |
+
"model_id": "804965c70c6342aa93f4ca9584c99930",
|
1893 |
+
"version_major": 2,
|
1894 |
+
"version_minor": 0
|
1895 |
+
},
|
1896 |
+
"text/plain": [
|
1897 |
+
"epoch=199-step=7000-v3.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
1898 |
+
]
|
1899 |
+
},
|
1900 |
+
"metadata": {},
|
1901 |
+
"output_type": "display_data"
|
1902 |
+
},
|
1903 |
+
{
|
1904 |
+
"data": {
|
1905 |
+
"application/vnd.jupyter.widget-view+json": {
|
1906 |
+
"model_id": "ee20d8d2d3624e5f9b9b73a6bc03a5ca",
|
1907 |
+
"version_major": 2,
|
1908 |
+
"version_minor": 0
|
1909 |
+
},
|
1910 |
+
"text/plain": [
|
1911 |
+
"epoch=199-step=7000-v4.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
1912 |
+
]
|
1913 |
+
},
|
1914 |
+
"metadata": {},
|
1915 |
+
"output_type": "display_data"
|
1916 |
+
},
|
1917 |
+
{
|
1918 |
+
"data": {
|
1919 |
+
"application/vnd.jupyter.widget-view+json": {
|
1920 |
+
"model_id": "040634c464bc490fbc7b542d4473e867",
|
1921 |
+
"version_major": 2,
|
1922 |
+
"version_minor": 0
|
1923 |
+
},
|
1924 |
+
"text/plain": [
|
1925 |
+
"epoch=199-step=7000.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
1926 |
+
]
|
1927 |
+
},
|
1928 |
+
"metadata": {},
|
1929 |
+
"output_type": "display_data"
|
1930 |
+
},
|
1931 |
+
{
|
1932 |
+
"data": {
|
1933 |
+
"application/vnd.jupyter.widget-view+json": {
|
1934 |
+
"model_id": "ec1bb62bcb10483f8469818732b2cd57",
|
1935 |
+
"version_major": 2,
|
1936 |
+
"version_minor": 0
|
1937 |
+
},
|
1938 |
+
"text/plain": [
|
1939 |
+
"epoch=0-step=35-v1.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
1940 |
+
]
|
1941 |
+
},
|
1942 |
+
"metadata": {},
|
1943 |
+
"output_type": "display_data"
|
1944 |
+
},
|
1945 |
+
{
|
1946 |
+
"data": {
|
1947 |
+
"application/vnd.jupyter.widget-view+json": {
|
1948 |
+
"model_id": "ed5458a25b2a434f9bf998010668f53f",
|
1949 |
+
"version_major": 2,
|
1950 |
+
"version_minor": 0
|
1951 |
+
},
|
1952 |
+
"text/plain": [
|
1953 |
+
"epoch=0-step=35.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
1954 |
+
]
|
1955 |
+
},
|
1956 |
+
"metadata": {},
|
1957 |
+
"output_type": "display_data"
|
1958 |
+
},
|
1959 |
+
{
|
1960 |
+
"data": {
|
1961 |
+
"application/vnd.jupyter.widget-view+json": {
|
1962 |
+
"model_id": "8a00fbdf7074497ba4ad39c5c1917f8d",
|
1963 |
+
"version_major": 2,
|
1964 |
+
"version_minor": 0
|
1965 |
+
},
|
1966 |
+
"text/plain": [
|
1967 |
+
"epoch=199-step=7000-v1.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
1968 |
+
]
|
1969 |
+
},
|
1970 |
+
"metadata": {},
|
1971 |
+
"output_type": "display_data"
|
1972 |
+
},
|
1973 |
+
{
|
1974 |
+
"data": {
|
1975 |
+
"application/vnd.jupyter.widget-view+json": {
|
1976 |
+
"model_id": "63d73a86224143dbb38698157006f75b",
|
1977 |
+
"version_major": 2,
|
1978 |
+
"version_minor": 0
|
1979 |
+
},
|
1980 |
+
"text/plain": [
|
1981 |
+
"epoch=199-step=7000-v2.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
1982 |
+
]
|
1983 |
+
},
|
1984 |
+
"metadata": {},
|
1985 |
+
"output_type": "display_data"
|
1986 |
+
},
|
1987 |
+
{
|
1988 |
+
"data": {
|
1989 |
+
"application/vnd.jupyter.widget-view+json": {
|
1990 |
+
"model_id": "2195c53ab6174b85833391bb4e7dc32c",
|
1991 |
+
"version_major": 2,
|
1992 |
+
"version_minor": 0
|
1993 |
+
},
|
1994 |
+
"text/plain": [
|
1995 |
+
"epoch=199-step=7000-v3.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
1996 |
+
]
|
1997 |
+
},
|
1998 |
+
"metadata": {},
|
1999 |
+
"output_type": "display_data"
|
2000 |
+
},
|
2001 |
+
{
|
2002 |
+
"data": {
|
2003 |
+
"application/vnd.jupyter.widget-view+json": {
|
2004 |
+
"model_id": "8061ca79116848df919ab4f0bfbec464",
|
2005 |
+
"version_major": 2,
|
2006 |
+
"version_minor": 0
|
2007 |
+
},
|
2008 |
+
"text/plain": [
|
2009 |
+
"epoch=199-step=7000-v4.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
2010 |
+
]
|
2011 |
+
},
|
2012 |
+
"metadata": {},
|
2013 |
+
"output_type": "display_data"
|
2014 |
+
},
|
2015 |
+
{
|
2016 |
+
"data": {
|
2017 |
+
"application/vnd.jupyter.widget-view+json": {
|
2018 |
+
"model_id": "61acab9d87b04d7080db67a2172f4846",
|
2019 |
+
"version_major": 2,
|
2020 |
+
"version_minor": 0
|
2021 |
+
},
|
2022 |
+
"text/plain": [
|
2023 |
+
"epoch=199-step=7000.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
2024 |
+
]
|
2025 |
+
},
|
2026 |
+
"metadata": {},
|
2027 |
+
"output_type": "display_data"
|
2028 |
+
},
|
2029 |
+
{
|
2030 |
+
"data": {
|
2031 |
+
"application/vnd.jupyter.widget-view+json": {
|
2032 |
+
"model_id": "79322fd42bf64f7381cd7da460479c67",
|
2033 |
+
"version_major": 2,
|
2034 |
+
"version_minor": 0
|
2035 |
+
},
|
2036 |
+
"text/plain": [
|
2037 |
+
"epoch=0-step=35-v1.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
2038 |
+
]
|
2039 |
+
},
|
2040 |
+
"metadata": {},
|
2041 |
+
"output_type": "display_data"
|
2042 |
+
},
|
2043 |
+
{
|
2044 |
+
"data": {
|
2045 |
+
"application/vnd.jupyter.widget-view+json": {
|
2046 |
+
"model_id": "0e6ed50e43b740da928365f454e5159f",
|
2047 |
+
"version_major": 2,
|
2048 |
+
"version_minor": 0
|
2049 |
+
},
|
2050 |
+
"text/plain": [
|
2051 |
+
"epoch=0-step=35.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
2052 |
+
]
|
2053 |
+
},
|
2054 |
+
"metadata": {},
|
2055 |
+
"output_type": "display_data"
|
2056 |
+
},
|
2057 |
+
{
|
2058 |
+
"data": {
|
2059 |
+
"application/vnd.jupyter.widget-view+json": {
|
2060 |
+
"model_id": "f3b93c4b95834c0f87ad5a5e476e5277",
|
2061 |
+
"version_major": 2,
|
2062 |
+
"version_minor": 0
|
2063 |
+
},
|
2064 |
+
"text/plain": [
|
2065 |
+
"epoch=199-step=7000-v1.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
2066 |
+
]
|
2067 |
+
},
|
2068 |
+
"metadata": {},
|
2069 |
+
"output_type": "display_data"
|
2070 |
+
},
|
2071 |
+
{
|
2072 |
+
"data": {
|
2073 |
+
"application/vnd.jupyter.widget-view+json": {
|
2074 |
+
"model_id": "34d61e317d204dbea7b1b738caa35e6f",
|
2075 |
+
"version_major": 2,
|
2076 |
+
"version_minor": 0
|
2077 |
+
},
|
2078 |
+
"text/plain": [
|
2079 |
+
"epoch=199-step=7000-v2.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
2080 |
+
]
|
2081 |
+
},
|
2082 |
+
"metadata": {},
|
2083 |
+
"output_type": "display_data"
|
2084 |
+
},
|
2085 |
+
{
|
2086 |
+
"data": {
|
2087 |
+
"application/vnd.jupyter.widget-view+json": {
|
2088 |
+
"model_id": "fe25130a658f4ecfa999a4ef9cc70c80",
|
2089 |
+
"version_major": 2,
|
2090 |
+
"version_minor": 0
|
2091 |
+
},
|
2092 |
+
"text/plain": [
|
2093 |
+
"epoch=199-step=7000-v3.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
2094 |
+
]
|
2095 |
+
},
|
2096 |
+
"metadata": {},
|
2097 |
+
"output_type": "display_data"
|
2098 |
+
},
|
2099 |
+
{
|
2100 |
+
"data": {
|
2101 |
+
"application/vnd.jupyter.widget-view+json": {
|
2102 |
+
"model_id": "c1b0caac8b394e388ddaddc18fcd1b2b",
|
2103 |
+
"version_major": 2,
|
2104 |
+
"version_minor": 0
|
2105 |
+
},
|
2106 |
+
"text/plain": [
|
2107 |
+
"epoch=199-step=7000-v4.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
2108 |
+
]
|
2109 |
+
},
|
2110 |
+
"metadata": {},
|
2111 |
+
"output_type": "display_data"
|
2112 |
+
},
|
2113 |
+
{
|
2114 |
+
"data": {
|
2115 |
+
"application/vnd.jupyter.widget-view+json": {
|
2116 |
+
"model_id": "c46dad42c6144bd7b415aa62c216c2f7",
|
2117 |
+
"version_major": 2,
|
2118 |
+
"version_minor": 0
|
2119 |
+
},
|
2120 |
+
"text/plain": [
|
2121 |
+
"epoch=199-step=7000.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
2122 |
+
]
|
2123 |
+
},
|
2124 |
+
"metadata": {},
|
2125 |
+
"output_type": "display_data"
|
2126 |
+
},
|
2127 |
+
{
|
2128 |
+
"data": {
|
2129 |
+
"application/vnd.jupyter.widget-view+json": {
|
2130 |
+
"model_id": "a415c6561656453fa0210d876e4d3daf",
|
2131 |
+
"version_major": 2,
|
2132 |
+
"version_minor": 0
|
2133 |
+
},
|
2134 |
+
"text/plain": [
|
2135 |
+
"epoch=0-step=35-v1.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
2136 |
+
]
|
2137 |
+
},
|
2138 |
+
"metadata": {},
|
2139 |
+
"output_type": "display_data"
|
2140 |
+
},
|
2141 |
+
{
|
2142 |
+
"data": {
|
2143 |
+
"application/vnd.jupyter.widget-view+json": {
|
2144 |
+
"model_id": "1b74629a9e534573bce451e9448ad476",
|
2145 |
+
"version_major": 2,
|
2146 |
+
"version_minor": 0
|
2147 |
+
},
|
2148 |
+
"text/plain": [
|
2149 |
+
"epoch=0-step=35.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
2150 |
+
]
|
2151 |
+
},
|
2152 |
+
"metadata": {},
|
2153 |
+
"output_type": "display_data"
|
2154 |
+
},
|
2155 |
+
{
|
2156 |
+
"data": {
|
2157 |
+
"application/vnd.jupyter.widget-view+json": {
|
2158 |
+
"model_id": "f16e12bfefb449b78a0ca46b8e7f627d",
|
2159 |
+
"version_major": 2,
|
2160 |
+
"version_minor": 0
|
2161 |
+
},
|
2162 |
+
"text/plain": [
|
2163 |
+
"epoch=199-step=7000-v1.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
2164 |
+
]
|
2165 |
+
},
|
2166 |
+
"metadata": {},
|
2167 |
+
"output_type": "display_data"
|
2168 |
+
},
|
2169 |
+
{
|
2170 |
+
"data": {
|
2171 |
+
"application/vnd.jupyter.widget-view+json": {
|
2172 |
+
"model_id": "4c013891058e45d6b2fd63aa49684965",
|
2173 |
+
"version_major": 2,
|
2174 |
+
"version_minor": 0
|
2175 |
+
},
|
2176 |
+
"text/plain": [
|
2177 |
+
"epoch=199-step=7000-v2.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
2178 |
+
]
|
2179 |
+
},
|
2180 |
+
"metadata": {},
|
2181 |
+
"output_type": "display_data"
|
2182 |
+
},
|
2183 |
+
{
|
2184 |
+
"data": {
|
2185 |
+
"application/vnd.jupyter.widget-view+json": {
|
2186 |
+
"model_id": "8e5930e8c935444ab417d2012ad5832d",
|
2187 |
+
"version_major": 2,
|
2188 |
+
"version_minor": 0
|
2189 |
+
},
|
2190 |
+
"text/plain": [
|
2191 |
+
"epoch=199-step=7000-v3.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
2192 |
+
]
|
2193 |
+
},
|
2194 |
+
"metadata": {},
|
2195 |
+
"output_type": "display_data"
|
2196 |
+
},
|
2197 |
+
{
|
2198 |
+
"data": {
|
2199 |
+
"application/vnd.jupyter.widget-view+json": {
|
2200 |
+
"model_id": "b55c30b9682544e5bedfbc834725806b",
|
2201 |
+
"version_major": 2,
|
2202 |
+
"version_minor": 0
|
2203 |
+
},
|
2204 |
+
"text/plain": [
|
2205 |
+
"epoch=199-step=7000-v4.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
2206 |
+
]
|
2207 |
+
},
|
2208 |
+
"metadata": {},
|
2209 |
+
"output_type": "display_data"
|
2210 |
+
},
|
2211 |
+
{
|
2212 |
+
"data": {
|
2213 |
+
"application/vnd.jupyter.widget-view+json": {
|
2214 |
+
"model_id": "ae4c1d4f445245f8baff57b9c002218c",
|
2215 |
+
"version_major": 2,
|
2216 |
+
"version_minor": 0
|
2217 |
+
},
|
2218 |
+
"text/plain": [
|
2219 |
+
"epoch=199-step=7000.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
2220 |
+
]
|
2221 |
+
},
|
2222 |
+
"metadata": {},
|
2223 |
+
"output_type": "display_data"
|
2224 |
+
},
|
2225 |
+
{
|
2226 |
+
"data": {
|
2227 |
+
"application/vnd.jupyter.widget-view+json": {
|
2228 |
+
"model_id": "fb4b4dd551594da0b67beb5376ed0e2b",
|
2229 |
+
"version_major": 2,
|
2230 |
+
"version_minor": 0
|
2231 |
+
},
|
2232 |
+
"text/plain": [
|
2233 |
+
"epoch=0-step=35-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2234 |
+
]
|
2235 |
+
},
|
2236 |
+
"metadata": {},
|
2237 |
+
"output_type": "display_data"
|
2238 |
+
},
|
2239 |
+
{
|
2240 |
+
"data": {
|
2241 |
+
"application/vnd.jupyter.widget-view+json": {
|
2242 |
+
"model_id": "6dad3a4f51b9414f89a2588b7158e530",
|
2243 |
+
"version_major": 2,
|
2244 |
+
"version_minor": 0
|
2245 |
+
},
|
2246 |
+
"text/plain": [
|
2247 |
+
"epoch=0-step=35.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2248 |
+
]
|
2249 |
+
},
|
2250 |
+
"metadata": {},
|
2251 |
+
"output_type": "display_data"
|
2252 |
+
},
|
2253 |
+
{
|
2254 |
+
"data": {
|
2255 |
+
"application/vnd.jupyter.widget-view+json": {
|
2256 |
+
"model_id": "85477776d5254dabadf7c927c19dcdb0",
|
2257 |
+
"version_major": 2,
|
2258 |
+
"version_minor": 0
|
2259 |
+
},
|
2260 |
+
"text/plain": [
|
2261 |
+
"epoch=199-step=7000-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2262 |
+
]
|
2263 |
+
},
|
2264 |
+
"metadata": {},
|
2265 |
+
"output_type": "display_data"
|
2266 |
+
},
|
2267 |
+
{
|
2268 |
+
"data": {
|
2269 |
+
"application/vnd.jupyter.widget-view+json": {
|
2270 |
+
"model_id": "1baf1e1525604eafb08506a5dbe9583b",
|
2271 |
+
"version_major": 2,
|
2272 |
+
"version_minor": 0
|
2273 |
+
},
|
2274 |
+
"text/plain": [
|
2275 |
+
"epoch=199-step=7000-v2.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2276 |
+
]
|
2277 |
+
},
|
2278 |
+
"metadata": {},
|
2279 |
+
"output_type": "display_data"
|
2280 |
+
},
|
2281 |
+
{
|
2282 |
+
"data": {
|
2283 |
+
"application/vnd.jupyter.widget-view+json": {
|
2284 |
+
"model_id": "9c2d0f54949b46299ffc7f8950ad18ae",
|
2285 |
+
"version_major": 2,
|
2286 |
+
"version_minor": 0
|
2287 |
+
},
|
2288 |
+
"text/plain": [
|
2289 |
+
"epoch=199-step=7000-v3.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2290 |
+
]
|
2291 |
+
},
|
2292 |
+
"metadata": {},
|
2293 |
+
"output_type": "display_data"
|
2294 |
+
},
|
2295 |
+
{
|
2296 |
+
"data": {
|
2297 |
+
"application/vnd.jupyter.widget-view+json": {
|
2298 |
+
"model_id": "6e0c1ee1ee3d44e5ac27d4601c63251f",
|
2299 |
+
"version_major": 2,
|
2300 |
+
"version_minor": 0
|
2301 |
+
},
|
2302 |
+
"text/plain": [
|
2303 |
+
"epoch=199-step=7000-v4.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2304 |
+
]
|
2305 |
+
},
|
2306 |
+
"metadata": {},
|
2307 |
+
"output_type": "display_data"
|
2308 |
+
},
|
2309 |
+
{
|
2310 |
+
"data": {
|
2311 |
+
"application/vnd.jupyter.widget-view+json": {
|
2312 |
+
"model_id": "071bb14e221c455a880e398e8aea84e9",
|
2313 |
+
"version_major": 2,
|
2314 |
+
"version_minor": 0
|
2315 |
+
},
|
2316 |
+
"text/plain": [
|
2317 |
+
"epoch=199-step=7000.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2318 |
+
]
|
2319 |
+
},
|
2320 |
+
"metadata": {},
|
2321 |
+
"output_type": "display_data"
|
2322 |
+
},
|
2323 |
+
{
|
2324 |
+
"data": {
|
2325 |
+
"application/vnd.jupyter.widget-view+json": {
|
2326 |
+
"model_id": "16bc4c48742146af84b9722e906430f0",
|
2327 |
+
"version_major": 2,
|
2328 |
+
"version_minor": 0
|
2329 |
+
},
|
2330 |
+
"text/plain": [
|
2331 |
+
"epoch=0-step=35-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2332 |
+
]
|
2333 |
+
},
|
2334 |
+
"metadata": {},
|
2335 |
+
"output_type": "display_data"
|
2336 |
+
},
|
2337 |
+
{
|
2338 |
+
"data": {
|
2339 |
+
"application/vnd.jupyter.widget-view+json": {
|
2340 |
+
"model_id": "210a7c3a955e42bea5432d641f8ea067",
|
2341 |
+
"version_major": 2,
|
2342 |
+
"version_minor": 0
|
2343 |
+
},
|
2344 |
+
"text/plain": [
|
2345 |
+
"epoch=0-step=35.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2346 |
+
]
|
2347 |
+
},
|
2348 |
+
"metadata": {},
|
2349 |
+
"output_type": "display_data"
|
2350 |
+
},
|
2351 |
+
{
|
2352 |
+
"data": {
|
2353 |
+
"application/vnd.jupyter.widget-view+json": {
|
2354 |
+
"model_id": "46688803c1584d1793e8667518cee115",
|
2355 |
+
"version_major": 2,
|
2356 |
+
"version_minor": 0
|
2357 |
+
},
|
2358 |
+
"text/plain": [
|
2359 |
+
"epoch=199-step=7000-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2360 |
+
]
|
2361 |
+
},
|
2362 |
+
"metadata": {},
|
2363 |
+
"output_type": "display_data"
|
2364 |
+
},
|
2365 |
+
{
|
2366 |
+
"data": {
|
2367 |
+
"application/vnd.jupyter.widget-view+json": {
|
2368 |
+
"model_id": "9ccf885615b94f9281ea7282ca8556cb",
|
2369 |
+
"version_major": 2,
|
2370 |
+
"version_minor": 0
|
2371 |
+
},
|
2372 |
+
"text/plain": [
|
2373 |
+
"epoch=199-step=7000-v2.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2374 |
+
]
|
2375 |
+
},
|
2376 |
+
"metadata": {},
|
2377 |
+
"output_type": "display_data"
|
2378 |
+
},
|
2379 |
+
{
|
2380 |
+
"data": {
|
2381 |
+
"application/vnd.jupyter.widget-view+json": {
|
2382 |
+
"model_id": "f9041d5b03c04441a24c835dbaa0dd82",
|
2383 |
+
"version_major": 2,
|
2384 |
+
"version_minor": 0
|
2385 |
+
},
|
2386 |
+
"text/plain": [
|
2387 |
+
"epoch=199-step=7000-v3.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2388 |
+
]
|
2389 |
+
},
|
2390 |
+
"metadata": {},
|
2391 |
+
"output_type": "display_data"
|
2392 |
+
},
|
2393 |
+
{
|
2394 |
+
"data": {
|
2395 |
+
"application/vnd.jupyter.widget-view+json": {
|
2396 |
+
"model_id": "e1565b2fcd324f6c8f0552bb7496828a",
|
2397 |
+
"version_major": 2,
|
2398 |
+
"version_minor": 0
|
2399 |
+
},
|
2400 |
+
"text/plain": [
|
2401 |
+
"epoch=199-step=7000-v4.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2402 |
+
]
|
2403 |
+
},
|
2404 |
+
"metadata": {},
|
2405 |
+
"output_type": "display_data"
|
2406 |
+
},
|
2407 |
+
{
|
2408 |
+
"data": {
|
2409 |
+
"application/vnd.jupyter.widget-view+json": {
|
2410 |
+
"model_id": "34fd13fb7465405698c0d8eab16dab62",
|
2411 |
+
"version_major": 2,
|
2412 |
+
"version_minor": 0
|
2413 |
+
},
|
2414 |
+
"text/plain": [
|
2415 |
+
"epoch=199-step=7000.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2416 |
+
]
|
2417 |
+
},
|
2418 |
+
"metadata": {},
|
2419 |
+
"output_type": "display_data"
|
2420 |
+
},
|
2421 |
+
{
|
2422 |
+
"data": {
|
2423 |
+
"application/vnd.jupyter.widget-view+json": {
|
2424 |
+
"model_id": "bfd87d782af646bf93369d9e0cb2d930",
|
2425 |
+
"version_major": 2,
|
2426 |
+
"version_minor": 0
|
2427 |
+
},
|
2428 |
+
"text/plain": [
|
2429 |
+
"epoch=0-step=35-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2430 |
+
]
|
2431 |
+
},
|
2432 |
+
"metadata": {},
|
2433 |
+
"output_type": "display_data"
|
2434 |
+
},
|
2435 |
+
{
|
2436 |
+
"data": {
|
2437 |
+
"application/vnd.jupyter.widget-view+json": {
|
2438 |
+
"model_id": "f41f3086c9434593b5c329fc44a3e355",
|
2439 |
+
"version_major": 2,
|
2440 |
+
"version_minor": 0
|
2441 |
+
},
|
2442 |
+
"text/plain": [
|
2443 |
+
"epoch=0-step=35.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2444 |
+
]
|
2445 |
+
},
|
2446 |
+
"metadata": {},
|
2447 |
+
"output_type": "display_data"
|
2448 |
+
},
|
2449 |
+
{
|
2450 |
+
"data": {
|
2451 |
+
"application/vnd.jupyter.widget-view+json": {
|
2452 |
+
"model_id": "2debf4902b5e4bcb93a823c14608d162",
|
2453 |
+
"version_major": 2,
|
2454 |
+
"version_minor": 0
|
2455 |
+
},
|
2456 |
+
"text/plain": [
|
2457 |
+
"epoch=199-step=7000-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2458 |
+
]
|
2459 |
+
},
|
2460 |
+
"metadata": {},
|
2461 |
+
"output_type": "display_data"
|
2462 |
+
},
|
2463 |
+
{
|
2464 |
+
"data": {
|
2465 |
+
"application/vnd.jupyter.widget-view+json": {
|
2466 |
+
"model_id": "d5906411478c4e6e874028c7c00baf64",
|
2467 |
+
"version_major": 2,
|
2468 |
+
"version_minor": 0
|
2469 |
+
},
|
2470 |
+
"text/plain": [
|
2471 |
+
"epoch=199-step=7000-v2.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2472 |
+
]
|
2473 |
+
},
|
2474 |
+
"metadata": {},
|
2475 |
+
"output_type": "display_data"
|
2476 |
+
},
|
2477 |
+
{
|
2478 |
+
"data": {
|
2479 |
+
"application/vnd.jupyter.widget-view+json": {
|
2480 |
+
"model_id": "66b0e5ccddbe45d199691494b2fbfe59",
|
2481 |
+
"version_major": 2,
|
2482 |
+
"version_minor": 0
|
2483 |
+
},
|
2484 |
+
"text/plain": [
|
2485 |
+
"epoch=199-step=7000-v3.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2486 |
+
]
|
2487 |
+
},
|
2488 |
+
"metadata": {},
|
2489 |
+
"output_type": "display_data"
|
2490 |
+
},
|
2491 |
+
{
|
2492 |
+
"data": {
|
2493 |
+
"application/vnd.jupyter.widget-view+json": {
|
2494 |
+
"model_id": "8a27b42b603d427892aa59c2f940c630",
|
2495 |
+
"version_major": 2,
|
2496 |
+
"version_minor": 0
|
2497 |
+
},
|
2498 |
+
"text/plain": [
|
2499 |
+
"epoch=199-step=7000-v4.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2500 |
+
]
|
2501 |
+
},
|
2502 |
+
"metadata": {},
|
2503 |
+
"output_type": "display_data"
|
2504 |
+
},
|
2505 |
+
{
|
2506 |
+
"data": {
|
2507 |
+
"application/vnd.jupyter.widget-view+json": {
|
2508 |
+
"model_id": "167300e3268c4eadbeac1b9e1cafb093",
|
2509 |
+
"version_major": 2,
|
2510 |
+
"version_minor": 0
|
2511 |
+
},
|
2512 |
+
"text/plain": [
|
2513 |
+
"epoch=199-step=7000.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2514 |
+
]
|
2515 |
+
},
|
2516 |
+
"metadata": {},
|
2517 |
+
"output_type": "display_data"
|
2518 |
+
},
|
2519 |
+
{
|
2520 |
+
"data": {
|
2521 |
+
"application/vnd.jupyter.widget-view+json": {
|
2522 |
+
"model_id": "05d1b24e2cf448809c76c912963130ec",
|
2523 |
+
"version_major": 2,
|
2524 |
+
"version_minor": 0
|
2525 |
+
},
|
2526 |
+
"text/plain": [
|
2527 |
+
"epoch=0-step=35-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2528 |
+
]
|
2529 |
+
},
|
2530 |
+
"metadata": {},
|
2531 |
+
"output_type": "display_data"
|
2532 |
+
},
|
2533 |
+
{
|
2534 |
+
"data": {
|
2535 |
+
"application/vnd.jupyter.widget-view+json": {
|
2536 |
+
"model_id": "24436c1517b841bbb1d9a30800778ed6",
|
2537 |
+
"version_major": 2,
|
2538 |
+
"version_minor": 0
|
2539 |
+
},
|
2540 |
+
"text/plain": [
|
2541 |
+
"epoch=0-step=35.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2542 |
+
]
|
2543 |
+
},
|
2544 |
+
"metadata": {},
|
2545 |
+
"output_type": "display_data"
|
2546 |
+
},
|
2547 |
+
{
|
2548 |
+
"data": {
|
2549 |
+
"application/vnd.jupyter.widget-view+json": {
|
2550 |
+
"model_id": "3f5b601314664a7bb85b111b845f24dc",
|
2551 |
+
"version_major": 2,
|
2552 |
+
"version_minor": 0
|
2553 |
+
},
|
2554 |
+
"text/plain": [
|
2555 |
+
"epoch=199-step=7000-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2556 |
+
]
|
2557 |
+
},
|
2558 |
+
"metadata": {},
|
2559 |
+
"output_type": "display_data"
|
2560 |
+
},
|
2561 |
+
{
|
2562 |
+
"data": {
|
2563 |
+
"application/vnd.jupyter.widget-view+json": {
|
2564 |
+
"model_id": "fbe41981acff469f95ac4de916991787",
|
2565 |
+
"version_major": 2,
|
2566 |
+
"version_minor": 0
|
2567 |
+
},
|
2568 |
+
"text/plain": [
|
2569 |
+
"epoch=199-step=7000-v2.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2570 |
+
]
|
2571 |
+
},
|
2572 |
+
"metadata": {},
|
2573 |
+
"output_type": "display_data"
|
2574 |
+
},
|
2575 |
+
{
|
2576 |
+
"data": {
|
2577 |
+
"application/vnd.jupyter.widget-view+json": {
|
2578 |
+
"model_id": "b72bf2a146fb4c57a068f6ed794447bb",
|
2579 |
+
"version_major": 2,
|
2580 |
+
"version_minor": 0
|
2581 |
+
},
|
2582 |
+
"text/plain": [
|
2583 |
+
"epoch=199-step=7000-v3.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2584 |
+
]
|
2585 |
+
},
|
2586 |
+
"metadata": {},
|
2587 |
+
"output_type": "display_data"
|
2588 |
+
},
|
2589 |
+
{
|
2590 |
+
"data": {
|
2591 |
+
"application/vnd.jupyter.widget-view+json": {
|
2592 |
+
"model_id": "b13d890f795a4f24b23a7a34f78484b1",
|
2593 |
+
"version_major": 2,
|
2594 |
+
"version_minor": 0
|
2595 |
+
},
|
2596 |
+
"text/plain": [
|
2597 |
+
"epoch=199-step=7000-v4.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2598 |
+
]
|
2599 |
+
},
|
2600 |
+
"metadata": {},
|
2601 |
+
"output_type": "display_data"
|
2602 |
+
},
|
2603 |
+
{
|
2604 |
+
"data": {
|
2605 |
+
"application/vnd.jupyter.widget-view+json": {
|
2606 |
+
"model_id": "f89e0c31a0ab4cefb241a07b003005c6",
|
2607 |
+
"version_major": 2,
|
2608 |
+
"version_minor": 0
|
2609 |
+
},
|
2610 |
+
"text/plain": [
|
2611 |
+
"epoch=199-step=7000.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2612 |
+
]
|
2613 |
+
},
|
2614 |
+
"metadata": {},
|
2615 |
+
"output_type": "display_data"
|
2616 |
+
},
|
2617 |
+
{
|
2618 |
+
"data": {
|
2619 |
+
"application/vnd.jupyter.widget-view+json": {
|
2620 |
+
"model_id": "b3595462f80a4ddb889416a0dee554f1",
|
2621 |
+
"version_major": 2,
|
2622 |
+
"version_minor": 0
|
2623 |
+
},
|
2624 |
+
"text/plain": [
|
2625 |
+
"epoch=199-step=30000-v1.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
2626 |
+
]
|
2627 |
+
},
|
2628 |
+
"metadata": {},
|
2629 |
+
"output_type": "display_data"
|
2630 |
+
},
|
2631 |
+
{
|
2632 |
+
"data": {
|
2633 |
+
"application/vnd.jupyter.widget-view+json": {
|
2634 |
+
"model_id": "4921beac2efe46c88f068a518aa69436",
|
2635 |
+
"version_major": 2,
|
2636 |
+
"version_minor": 0
|
2637 |
+
},
|
2638 |
+
"text/plain": [
|
2639 |
+
"epoch=199-step=30000-v2.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
2640 |
+
]
|
2641 |
+
},
|
2642 |
+
"metadata": {},
|
2643 |
+
"output_type": "display_data"
|
2644 |
+
},
|
2645 |
+
{
|
2646 |
+
"data": {
|
2647 |
+
"application/vnd.jupyter.widget-view+json": {
|
2648 |
+
"model_id": "bc9dd2abb5404f3da4172b7f7bffd70c",
|
2649 |
+
"version_major": 2,
|
2650 |
+
"version_minor": 0
|
2651 |
+
},
|
2652 |
+
"text/plain": [
|
2653 |
+
"epoch=199-step=30000-v3.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
2654 |
+
]
|
2655 |
+
},
|
2656 |
+
"metadata": {},
|
2657 |
+
"output_type": "display_data"
|
2658 |
+
},
|
2659 |
+
{
|
2660 |
+
"data": {
|
2661 |
+
"application/vnd.jupyter.widget-view+json": {
|
2662 |
+
"model_id": "a6186f252cac4e459d974a1b03b46cb6",
|
2663 |
+
"version_major": 2,
|
2664 |
+
"version_minor": 0
|
2665 |
+
},
|
2666 |
+
"text/plain": [
|
2667 |
+
"epoch=199-step=30000.ckpt: 0%| | 0.00/184M [00:00<?, ?B/s]"
|
2668 |
+
]
|
2669 |
+
},
|
2670 |
+
"metadata": {},
|
2671 |
+
"output_type": "display_data"
|
2672 |
+
},
|
2673 |
+
{
|
2674 |
+
"data": {
|
2675 |
+
"application/vnd.jupyter.widget-view+json": {
|
2676 |
+
"model_id": "bb2ab99bcb4e4952bc506f8bac024569",
|
2677 |
+
"version_major": 2,
|
2678 |
+
"version_minor": 0
|
2679 |
+
},
|
2680 |
+
"text/plain": [
|
2681 |
+
"epoch=199-step=30000-v1.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
2682 |
+
]
|
2683 |
+
},
|
2684 |
+
"metadata": {},
|
2685 |
+
"output_type": "display_data"
|
2686 |
+
},
|
2687 |
+
{
|
2688 |
+
"data": {
|
2689 |
+
"application/vnd.jupyter.widget-view+json": {
|
2690 |
+
"model_id": "65526f06c7ad4f74863c18c1f20acec2",
|
2691 |
+
"version_major": 2,
|
2692 |
+
"version_minor": 0
|
2693 |
+
},
|
2694 |
+
"text/plain": [
|
2695 |
+
"epoch=199-step=30000-v2.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
2696 |
+
]
|
2697 |
+
},
|
2698 |
+
"metadata": {},
|
2699 |
+
"output_type": "display_data"
|
2700 |
+
},
|
2701 |
+
{
|
2702 |
+
"data": {
|
2703 |
+
"application/vnd.jupyter.widget-view+json": {
|
2704 |
+
"model_id": "155cecc6b12e4ca3b8e1947e87a3a6dd",
|
2705 |
+
"version_major": 2,
|
2706 |
+
"version_minor": 0
|
2707 |
+
},
|
2708 |
+
"text/plain": [
|
2709 |
+
"epoch=199-step=30000-v3.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
2710 |
+
]
|
2711 |
+
},
|
2712 |
+
"metadata": {},
|
2713 |
+
"output_type": "display_data"
|
2714 |
+
},
|
2715 |
+
{
|
2716 |
+
"data": {
|
2717 |
+
"application/vnd.jupyter.widget-view+json": {
|
2718 |
+
"model_id": "00024ac6fc68424988acb0bc23b2562e",
|
2719 |
+
"version_major": 2,
|
2720 |
+
"version_minor": 0
|
2721 |
+
},
|
2722 |
+
"text/plain": [
|
2723 |
+
"epoch=199-step=30000.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
2724 |
+
]
|
2725 |
+
},
|
2726 |
+
"metadata": {},
|
2727 |
+
"output_type": "display_data"
|
2728 |
+
},
|
2729 |
+
{
|
2730 |
+
"data": {
|
2731 |
+
"application/vnd.jupyter.widget-view+json": {
|
2732 |
+
"model_id": "adbaba0167ab4a1d84a24f2b5644c2e7",
|
2733 |
+
"version_major": 2,
|
2734 |
+
"version_minor": 0
|
2735 |
+
},
|
2736 |
+
"text/plain": [
|
2737 |
+
"epoch=199-step=30000-v1.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
2738 |
+
]
|
2739 |
+
},
|
2740 |
+
"metadata": {},
|
2741 |
+
"output_type": "display_data"
|
2742 |
+
},
|
2743 |
+
{
|
2744 |
+
"data": {
|
2745 |
+
"application/vnd.jupyter.widget-view+json": {
|
2746 |
+
"model_id": "b8a85b32ac9e443090aab7986b888a6b",
|
2747 |
+
"version_major": 2,
|
2748 |
+
"version_minor": 0
|
2749 |
+
},
|
2750 |
+
"text/plain": [
|
2751 |
+
"epoch=199-step=30000-v2.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
2752 |
+
]
|
2753 |
+
},
|
2754 |
+
"metadata": {},
|
2755 |
+
"output_type": "display_data"
|
2756 |
+
},
|
2757 |
+
{
|
2758 |
+
"data": {
|
2759 |
+
"application/vnd.jupyter.widget-view+json": {
|
2760 |
+
"model_id": "5b135200a6d846a492d41211237a4caa",
|
2761 |
+
"version_major": 2,
|
2762 |
+
"version_minor": 0
|
2763 |
+
},
|
2764 |
+
"text/plain": [
|
2765 |
+
"epoch=199-step=30000-v3.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
2766 |
+
]
|
2767 |
+
},
|
2768 |
+
"metadata": {},
|
2769 |
+
"output_type": "display_data"
|
2770 |
+
},
|
2771 |
+
{
|
2772 |
+
"data": {
|
2773 |
+
"application/vnd.jupyter.widget-view+json": {
|
2774 |
+
"model_id": "4cf8b1f5af4f4e168d7b236c2a00a06f",
|
2775 |
+
"version_major": 2,
|
2776 |
+
"version_minor": 0
|
2777 |
+
},
|
2778 |
+
"text/plain": [
|
2779 |
+
"epoch=199-step=30000.ckpt: 0%| | 0.00/119M [00:00<?, ?B/s]"
|
2780 |
+
]
|
2781 |
+
},
|
2782 |
+
"metadata": {},
|
2783 |
+
"output_type": "display_data"
|
2784 |
+
},
|
2785 |
+
{
|
2786 |
+
"data": {
|
2787 |
+
"application/vnd.jupyter.widget-view+json": {
|
2788 |
+
"model_id": "e190f437e25e46c5844c522dcaadbded",
|
2789 |
+
"version_major": 2,
|
2790 |
+
"version_minor": 0
|
2791 |
+
},
|
2792 |
+
"text/plain": [
|
2793 |
+
"epoch=199-step=30000-v1.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
2794 |
+
]
|
2795 |
+
},
|
2796 |
+
"metadata": {},
|
2797 |
+
"output_type": "display_data"
|
2798 |
+
},
|
2799 |
+
{
|
2800 |
+
"data": {
|
2801 |
+
"application/vnd.jupyter.widget-view+json": {
|
2802 |
+
"model_id": "83f7526991ad43caaba863f0a6a96c70",
|
2803 |
+
"version_major": 2,
|
2804 |
+
"version_minor": 0
|
2805 |
+
},
|
2806 |
+
"text/plain": [
|
2807 |
+
"epoch=199-step=30000-v2.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
2808 |
+
]
|
2809 |
+
},
|
2810 |
+
"metadata": {},
|
2811 |
+
"output_type": "display_data"
|
2812 |
+
},
|
2813 |
+
{
|
2814 |
+
"data": {
|
2815 |
+
"application/vnd.jupyter.widget-view+json": {
|
2816 |
+
"model_id": "32a0dc4bc4cb4b7688ef251e570fdd06",
|
2817 |
+
"version_major": 2,
|
2818 |
+
"version_minor": 0
|
2819 |
+
},
|
2820 |
+
"text/plain": [
|
2821 |
+
"epoch=199-step=30000-v3.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
2822 |
+
]
|
2823 |
+
},
|
2824 |
+
"metadata": {},
|
2825 |
+
"output_type": "display_data"
|
2826 |
+
},
|
2827 |
+
{
|
2828 |
+
"data": {
|
2829 |
+
"application/vnd.jupyter.widget-view+json": {
|
2830 |
+
"model_id": "fbfafd1f1eff40a491a7b20f7f355bde",
|
2831 |
+
"version_major": 2,
|
2832 |
+
"version_minor": 0
|
2833 |
+
},
|
2834 |
+
"text/plain": [
|
2835 |
+
"epoch=199-step=30000.ckpt: 0%| | 0.00/136M [00:00<?, ?B/s]"
|
2836 |
+
]
|
2837 |
+
},
|
2838 |
+
"metadata": {},
|
2839 |
+
"output_type": "display_data"
|
2840 |
+
},
|
2841 |
+
{
|
2842 |
+
"data": {
|
2843 |
+
"application/vnd.jupyter.widget-view+json": {
|
2844 |
+
"model_id": "68605bd39ac94eeb83a19555fcf4ffd1",
|
2845 |
+
"version_major": 2,
|
2846 |
+
"version_minor": 0
|
2847 |
+
},
|
2848 |
+
"text/plain": [
|
2849 |
+
"epoch=199-step=30000-v1.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
2850 |
+
]
|
2851 |
+
},
|
2852 |
+
"metadata": {},
|
2853 |
+
"output_type": "display_data"
|
2854 |
+
},
|
2855 |
+
{
|
2856 |
+
"data": {
|
2857 |
+
"application/vnd.jupyter.widget-view+json": {
|
2858 |
+
"model_id": "b23b4ba84fbe47b08cd4ae75feee946b",
|
2859 |
+
"version_major": 2,
|
2860 |
+
"version_minor": 0
|
2861 |
+
},
|
2862 |
+
"text/plain": [
|
2863 |
+
"epoch=199-step=30000-v2.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
2864 |
+
]
|
2865 |
+
},
|
2866 |
+
"metadata": {},
|
2867 |
+
"output_type": "display_data"
|
2868 |
+
},
|
2869 |
+
{
|
2870 |
+
"data": {
|
2871 |
+
"application/vnd.jupyter.widget-view+json": {
|
2872 |
+
"model_id": "2cac346642314739b1d431a29bc4fa98",
|
2873 |
+
"version_major": 2,
|
2874 |
+
"version_minor": 0
|
2875 |
+
},
|
2876 |
+
"text/plain": [
|
2877 |
+
"epoch=199-step=30000-v3.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
2878 |
+
]
|
2879 |
+
},
|
2880 |
+
"metadata": {},
|
2881 |
+
"output_type": "display_data"
|
2882 |
+
},
|
2883 |
+
{
|
2884 |
+
"data": {
|
2885 |
+
"application/vnd.jupyter.widget-view+json": {
|
2886 |
+
"model_id": "f80e53f281d14769b8f434b58da19697",
|
2887 |
+
"version_major": 2,
|
2888 |
+
"version_minor": 0
|
2889 |
+
},
|
2890 |
+
"text/plain": [
|
2891 |
+
"epoch=199-step=30000.ckpt: 0%| | 0.00/153M [00:00<?, ?B/s]"
|
2892 |
+
]
|
2893 |
+
},
|
2894 |
+
"metadata": {},
|
2895 |
+
"output_type": "display_data"
|
2896 |
+
},
|
2897 |
+
{
|
2898 |
+
"data": {
|
2899 |
+
"application/vnd.jupyter.widget-view+json": {
|
2900 |
+
"model_id": "df44f0d4dc934f619f36d6eb8f124837",
|
2901 |
+
"version_major": 2,
|
2902 |
+
"version_minor": 0
|
2903 |
+
},
|
2904 |
+
"text/plain": [
|
2905 |
+
"epoch=199-step=30000-v1.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
2906 |
+
]
|
2907 |
+
},
|
2908 |
+
"metadata": {},
|
2909 |
+
"output_type": "display_data"
|
2910 |
+
},
|
2911 |
+
{
|
2912 |
+
"data": {
|
2913 |
+
"application/vnd.jupyter.widget-view+json": {
|
2914 |
+
"model_id": "bdf1b1c53aff4c3b89eff17c502cf67f",
|
2915 |
+
"version_major": 2,
|
2916 |
+
"version_minor": 0
|
2917 |
+
},
|
2918 |
+
"text/plain": [
|
2919 |
+
"epoch=199-step=30000-v2.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
2920 |
+
]
|
2921 |
+
},
|
2922 |
+
"metadata": {},
|
2923 |
+
"output_type": "display_data"
|
2924 |
+
},
|
2925 |
+
{
|
2926 |
+
"data": {
|
2927 |
+
"application/vnd.jupyter.widget-view+json": {
|
2928 |
+
"model_id": "73e66503fb904b01a6daa100c541d1ec",
|
2929 |
+
"version_major": 2,
|
2930 |
+
"version_minor": 0
|
2931 |
+
},
|
2932 |
+
"text/plain": [
|
2933 |
+
"epoch=199-step=30000-v3.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
2934 |
+
]
|
2935 |
+
},
|
2936 |
+
"metadata": {},
|
2937 |
+
"output_type": "display_data"
|
2938 |
+
},
|
2939 |
+
{
|
2940 |
+
"data": {
|
2941 |
+
"application/vnd.jupyter.widget-view+json": {
|
2942 |
+
"model_id": "94343f058877493db4ca89032c91e445",
|
2943 |
+
"version_major": 2,
|
2944 |
+
"version_minor": 0
|
2945 |
+
},
|
2946 |
+
"text/plain": [
|
2947 |
+
"epoch=199-step=30000.ckpt: 0%| | 0.00/120M [00:00<?, ?B/s]"
|
2948 |
+
]
|
2949 |
+
},
|
2950 |
+
"metadata": {},
|
2951 |
+
"output_type": "display_data"
|
2952 |
+
},
|
2953 |
+
{
|
2954 |
+
"data": {
|
2955 |
+
"application/vnd.jupyter.widget-view+json": {
|
2956 |
+
"model_id": "eb22ae2e37a243d0ac215ed43bdb3ec6",
|
2957 |
+
"version_major": 2,
|
2958 |
+
"version_minor": 0
|
2959 |
+
},
|
2960 |
+
"text/plain": [
|
2961 |
+
"epoch=199-step=30000-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2962 |
+
]
|
2963 |
+
},
|
2964 |
+
"metadata": {},
|
2965 |
+
"output_type": "display_data"
|
2966 |
+
},
|
2967 |
+
{
|
2968 |
+
"data": {
|
2969 |
+
"application/vnd.jupyter.widget-view+json": {
|
2970 |
+
"model_id": "778c4d91358747c692c0d914601f4770",
|
2971 |
+
"version_major": 2,
|
2972 |
+
"version_minor": 0
|
2973 |
+
},
|
2974 |
+
"text/plain": [
|
2975 |
+
"epoch=199-step=30000-v2.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2976 |
+
]
|
2977 |
+
},
|
2978 |
+
"metadata": {},
|
2979 |
+
"output_type": "display_data"
|
2980 |
+
},
|
2981 |
+
{
|
2982 |
+
"data": {
|
2983 |
+
"application/vnd.jupyter.widget-view+json": {
|
2984 |
+
"model_id": "e11a503109f7406b8d8d5399020e68f4",
|
2985 |
+
"version_major": 2,
|
2986 |
+
"version_minor": 0
|
2987 |
+
},
|
2988 |
+
"text/plain": [
|
2989 |
+
"epoch=199-step=30000.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
2990 |
+
]
|
2991 |
+
},
|
2992 |
+
"metadata": {},
|
2993 |
+
"output_type": "display_data"
|
2994 |
+
},
|
2995 |
+
{
|
2996 |
+
"data": {
|
2997 |
+
"application/vnd.jupyter.widget-view+json": {
|
2998 |
+
"model_id": "0316f2930fc7442eb6350ed8b623cab7",
|
2999 |
+
"version_major": 2,
|
3000 |
+
"version_minor": 0
|
3001 |
+
},
|
3002 |
+
"text/plain": [
|
3003 |
+
"epoch=0-step=150.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
3004 |
+
]
|
3005 |
+
},
|
3006 |
+
"metadata": {},
|
3007 |
+
"output_type": "display_data"
|
3008 |
+
},
|
3009 |
+
{
|
3010 |
+
"data": {
|
3011 |
+
"application/vnd.jupyter.widget-view+json": {
|
3012 |
+
"model_id": "a09931eaca134330a35210e9f0fd4558",
|
3013 |
+
"version_major": 2,
|
3014 |
+
"version_minor": 0
|
3015 |
+
},
|
3016 |
+
"text/plain": [
|
3017 |
+
"epoch=199-step=30000-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
3018 |
+
]
|
3019 |
+
},
|
3020 |
+
"metadata": {},
|
3021 |
+
"output_type": "display_data"
|
3022 |
+
},
|
3023 |
+
{
|
3024 |
+
"data": {
|
3025 |
+
"application/vnd.jupyter.widget-view+json": {
|
3026 |
+
"model_id": "4b75750ff6304a4c9eacb2e0af29fcf7",
|
3027 |
+
"version_major": 2,
|
3028 |
+
"version_minor": 0
|
3029 |
+
},
|
3030 |
+
"text/plain": [
|
3031 |
+
"epoch=199-step=30000-v2.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
3032 |
+
]
|
3033 |
+
},
|
3034 |
+
"metadata": {},
|
3035 |
+
"output_type": "display_data"
|
3036 |
+
},
|
3037 |
+
{
|
3038 |
+
"data": {
|
3039 |
+
"application/vnd.jupyter.widget-view+json": {
|
3040 |
+
"model_id": "33939325eebc4efea830d5b30f771390",
|
3041 |
+
"version_major": 2,
|
3042 |
+
"version_minor": 0
|
3043 |
+
},
|
3044 |
+
"text/plain": [
|
3045 |
+
"epoch=199-step=30000.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
3046 |
+
]
|
3047 |
+
},
|
3048 |
+
"metadata": {},
|
3049 |
+
"output_type": "display_data"
|
3050 |
+
},
|
3051 |
+
{
|
3052 |
+
"data": {
|
3053 |
+
"application/vnd.jupyter.widget-view+json": {
|
3054 |
+
"model_id": "41a8b4e0eeec4597ad835f7349fd005d",
|
3055 |
+
"version_major": 2,
|
3056 |
+
"version_minor": 0
|
3057 |
+
},
|
3058 |
+
"text/plain": [
|
3059 |
+
"epoch=0-step=150.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
3060 |
+
]
|
3061 |
+
},
|
3062 |
+
"metadata": {},
|
3063 |
+
"output_type": "display_data"
|
3064 |
+
},
|
3065 |
+
{
|
3066 |
+
"data": {
|
3067 |
+
"application/vnd.jupyter.widget-view+json": {
|
3068 |
+
"model_id": "a473ce0543b04c198e6f8f5d84d2e7a8",
|
3069 |
+
"version_major": 2,
|
3070 |
+
"version_minor": 0
|
3071 |
+
},
|
3072 |
+
"text/plain": [
|
3073 |
+
"epoch=199-step=30000-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
3074 |
+
]
|
3075 |
+
},
|
3076 |
+
"metadata": {},
|
3077 |
+
"output_type": "display_data"
|
3078 |
+
},
|
3079 |
+
{
|
3080 |
+
"data": {
|
3081 |
+
"application/vnd.jupyter.widget-view+json": {
|
3082 |
+
"model_id": "77209ff9ed1042038c90530b1351da76",
|
3083 |
+
"version_major": 2,
|
3084 |
+
"version_minor": 0
|
3085 |
+
},
|
3086 |
+
"text/plain": [
|
3087 |
+
"epoch=199-step=30000-v2.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
3088 |
+
]
|
3089 |
+
},
|
3090 |
+
"metadata": {},
|
3091 |
+
"output_type": "display_data"
|
3092 |
+
},
|
3093 |
+
{
|
3094 |
+
"data": {
|
3095 |
+
"application/vnd.jupyter.widget-view+json": {
|
3096 |
+
"model_id": "99afc53326c84bfa9a867e5ff9cd0734",
|
3097 |
+
"version_major": 2,
|
3098 |
+
"version_minor": 0
|
3099 |
+
},
|
3100 |
+
"text/plain": [
|
3101 |
+
"epoch=199-step=30000.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
3102 |
+
]
|
3103 |
+
},
|
3104 |
+
"metadata": {},
|
3105 |
+
"output_type": "display_data"
|
3106 |
+
},
|
3107 |
+
{
|
3108 |
+
"data": {
|
3109 |
+
"application/vnd.jupyter.widget-view+json": {
|
3110 |
+
"model_id": "cf2d75689c4f41bebd6fc61968800e98",
|
3111 |
+
"version_major": 2,
|
3112 |
+
"version_minor": 0
|
3113 |
+
},
|
3114 |
+
"text/plain": [
|
3115 |
+
"epoch=0-step=150.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
3116 |
+
]
|
3117 |
+
},
|
3118 |
+
"metadata": {},
|
3119 |
+
"output_type": "display_data"
|
3120 |
+
},
|
3121 |
+
{
|
3122 |
+
"data": {
|
3123 |
+
"application/vnd.jupyter.widget-view+json": {
|
3124 |
+
"model_id": "71534e82d53d4766b61b8c9e336ef2bc",
|
3125 |
+
"version_major": 2,
|
3126 |
+
"version_minor": 0
|
3127 |
+
},
|
3128 |
+
"text/plain": [
|
3129 |
+
"epoch=199-step=30000-v1.ckpt: 0%| | 0.00/168M [00:00<?, ?B/s]"
|
3130 |
+
]
|
3131 |
+
},
|
3132 |
+
"metadata": {},
|
3133 |
+
"output_type": "display_data"
|
3134 |
+
}
|
3135 |
+
],
|
3136 |
+
"source": [
|
3137 |
+
"api.upload_folder(\n",
|
3138 |
+
" folder_path=\"../ssl-checkpoints\",\n",
|
3139 |
+
" repo_id=\"CATIE-AQ/ssl-checkpoints\",\n",
|
3140 |
+
" repo_type=\"dataset\",\n",
|
3141 |
+
")"
|
3142 |
+
]
|
3143 |
+
},
|
3144 |
+
{
|
3145 |
+
"cell_type": "code",
|
3146 |
+
"execution_count": null,
|
3147 |
+
"id": "922f84c2-6840-46e4-9640-25c5720f808a",
|
3148 |
+
"metadata": {},
|
3149 |
+
"outputs": [],
|
3150 |
+
"source": []
|
3151 |
+
}
|
3152 |
+
],
|
3153 |
+
"metadata": {
|
3154 |
+
"kernelspec": {
|
3155 |
+
"display_name": "Python 3 (ipykernel)",
|
3156 |
+
"language": "python",
|
3157 |
+
"name": "python3"
|
3158 |
+
},
|
3159 |
+
"language_info": {
|
3160 |
+
"codemirror_mode": {
|
3161 |
+
"name": "ipython",
|
3162 |
+
"version": 3
|
3163 |
+
},
|
3164 |
+
"file_extension": ".py",
|
3165 |
+
"mimetype": "text/x-python",
|
3166 |
+
"name": "python",
|
3167 |
+
"nbconvert_exporter": "python",
|
3168 |
+
"pygments_lexer": "ipython3",
|
3169 |
+
"version": "3.11.5"
|
3170 |
+
}
|
3171 |
+
},
|
3172 |
+
"nbformat": 4,
|
3173 |
+
"nbformat_minor": 5
|
3174 |
+
}
|
imagenette2-160/BYOL/epoch=199-step=7200-v1.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:574fb6222f1453f53879d9e710f5726f6bca0ea5bb97ff1c5c621fdfaccc605d
|
3 |
+
size 184345371
|
imagenette2-160/BYOL/epoch=199-step=7200-v2.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6d25d8f60281e3f77ad110e0f1978103bb2b74c36dd7075dc6c6ee291d328c2a
|
3 |
+
size 184345371
|
imagenette2-160/BYOL/epoch=199-step=7200-v3.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:92ae4c5e74e14f0adc428ae3c0db426bbffe1293d2bdab86bb020797a8cacdf3
|
3 |
+
size 184344987
|
imagenette2-160/BYOL/epoch=199-step=7200-v4.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5c5becdd99aed9e24ec3b2672e6feae87ddb842f40956ebcc672ac5358ed5eef
|
3 |
+
size 184344987
|
imagenette2-160/BYOL/epoch=199-step=7200.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e3011de266fbe2c89c9a7e0c4235d502685094767c9d1246638bf1f92d932495
|
3 |
+
size 184346139
|
imagenette2-160/BarlowTwins/epoch=199-step=7200-v1.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:71f501abdf80e8c316f19f1243d5766e4a618dc546dcec2c6903c9f87ec242c3
|
3 |
+
size 119515815
|
imagenette2-160/BarlowTwins/epoch=199-step=7200-v2.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:39c1eb71f241c9d91b150a7e82e09d03fdb0627d7dea1e56271b041ff569cac2
|
3 |
+
size 119515815
|
imagenette2-160/BarlowTwins/epoch=199-step=7200-v3.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a724e3f3b1ba66b260e49d5339bcc66e56d36a1784c2f16af9044d4947b06740
|
3 |
+
size 119515431
|
imagenette2-160/BarlowTwins/epoch=199-step=7200-v4.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4b3d1bc5750ebd71f9bd87faf64945784c08d02e984e5443992b0f3573dc31e6
|
3 |
+
size 119515431
|
imagenette2-160/BarlowTwins/epoch=199-step=7200.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a679a28cc0dcf149c8d172c0a28a41c0b8c63922e67dee751080e16d772b3886
|
3 |
+
size 119516519
|
imagenette2-160/SimCLR/epoch=199-step=7200-v1.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:99fe5f3b14e91125b7d69e3300396737619ace52b3e51ae000a10458ec40ee25
|
3 |
+
size 119375107
|
imagenette2-160/SimCLR/epoch=199-step=7200-v2.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:013e0b014b7487d9d2f859d81f2db898e70537a19dc372bf18db8355b4af9fca
|
3 |
+
size 119375107
|
imagenette2-160/SimCLR/epoch=199-step=7200-v3.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7af36120e37e688210471fb8f810b3cc224e78dd88ab824536bc3f5bab21ed70
|
3 |
+
size 119374723
|
imagenette2-160/SimCLR/epoch=199-step=7200-v4.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:21ccb52c3faa78793db8a2c82db40c6a0cf6677619d4ff238595712d02544b9d
|
3 |
+
size 119374723
|
imagenette2-160/SimCLR/epoch=199-step=7200.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f0dbecded9b58ad1baef7beac303b6d6d683681b7f521207d586a8636e0853cd
|
3 |
+
size 119375811
|
imagenette2-160/SimSiam/epoch=199-step=7200-v1.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:840a91d4f25909024422e6b866b3dbd2d243618bc6407d3529fea4e0196f081e
|
3 |
+
size 136326411
|
imagenette2-160/SimSiam/epoch=199-step=7200-v2.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a3f8052f0cf5870e4e1cd702cb864fbed78d46574079b3188040a77c32bd5c07
|
3 |
+
size 136326411
|
imagenette2-160/SimSiam/epoch=199-step=7200-v3.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:147b1ce955d4ce63d1bacef6f25e9220396aa1b289c5c965dd19c9023c04da93
|
3 |
+
size 136326027
|
imagenette2-160/SimSiam/epoch=199-step=7200-v4.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:75018ebca1fd93a29c33717edd7a9195d5304518eeb1b4b685d309abc46b39c1
|
3 |
+
size 136326027
|
imagenette2-160/SimSiam/epoch=199-step=7200.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a5159cd2dcd9a49145d020d835b3c84c5329d96326968c298641b1843530f4c0
|
3 |
+
size 136327115
|
imagenette2-160/SwaV/epoch=199-step=7200-v1.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bdcea450702221162b0f1d3b6862549b1a6d85190aa4d05ec36348450ed8a42d
|
3 |
+
size 152950897
|
imagenette2-160/SwaV/epoch=199-step=7200-v2.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7b81e3a69eacd469cc436a39b09dffc845320576723dae0a18cf515bf4e2558b
|
3 |
+
size 152950897
|
imagenette2-160/SwaV/epoch=199-step=7200-v3.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3c0c681dac3f668bdfa9420acc440d99bad49ea32c75c6e2ca50bbf967bdbbcd
|
3 |
+
size 152950449
|
imagenette2-160/SwaV/epoch=199-step=7200-v4.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8f5daaa990449d7d1db841a1ddce8c5ddb342c24f80fb27e7d19a8692a1578b0
|
3 |
+
size 152950449
|
imagenette2-160/SwaV/epoch=199-step=7200.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2f706e587ec5bd9ddf9f0e174c9f67867835d5af72162a12d9ac309ae8d73212
|
3 |
+
size 152951601
|
imagenette2-160/VICReg/epoch=199-step=7200-v1.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0c6828aa5d872385dd347a79195112f72ac999e3ee467d5e47ad58fc2e715262
|
3 |
+
size 119515815
|
imagenette2-160/VICReg/epoch=199-step=7200-v2.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:97e76a24761504ccdbfe164777b9a876e7bcaf069c2283dc21270251c856a8eb
|
3 |
+
size 119515815
|
imagenette2-160/VICReg/epoch=199-step=7200-v3.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a8038138768adea1732324d4119231bd1f4ee76876b7be283581c8e051184f0a
|
3 |
+
size 119515431
|
imagenette2-160/VICReg/epoch=199-step=7200-v4.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3f89f0dde2830d6a2dc353f3569f68953caa568e9ea0967d216468b4647c4e98
|
3 |
+
size 119515431
|
imagenette2-160/VICReg/epoch=199-step=7200.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:50a7a211c40d583cb2f6e152b51e5d2ca41267978ce293b79893f3e7b47b2957
|
3 |
+
size 119516519
|
imagenette2-160/VICRegl25/epoch=199-step=7200-v1.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e5b226a41cf3bca6e48bdc67a0639a635d10b161c9a545c57983775573061bfb
|
3 |
+
size 167984455
|
imagenette2-160/VICRegl25/epoch=199-step=7200-v2.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4de8a1b8afc732fcecf74bfe408590efee60173bc8a1a95ade6da38d547ac839
|
3 |
+
size 167984071
|
imagenette2-160/VICRegl25/epoch=199-step=7200-v3.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:89f95ef488c5aef9906028a479bba03a73945e9e70aaee064ae966e1ef9c924d
|
3 |
+
size 167984071
|
imagenette2-160/VICRegl25/epoch=199-step=7200.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7922c5f91e23e304530f38a7bc879785efe8b5720c7e1b12ccc171d1dc7583f9
|
3 |
+
size 167985159
|
imagenette2-160/VICRegl50/epoch=199-step=7200-v1.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:779ec5bc17a7c5bf38cc68e08dc4438d3a72af8caf08ec38bb2b5663a24234dd
|
3 |
+
size 167984455
|
imagenette2-160/VICRegl50/epoch=199-step=7200-v2.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5e2599f473d05c84e6ff97a28002faf9b1354ebb56aea322367f0a2d71e9ce4c
|
3 |
+
size 167984071
|
imagenette2-160/VICRegl50/epoch=199-step=7200-v3.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:04db54ffe2959439c5dacd232bdfd4cae53f6c3492662ac35cba339cdd73ddb9
|
3 |
+
size 167984071
|
imagenette2-160/VICRegl50/epoch=199-step=7200.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d5d3262942ae70d2c8cd739480df9311931cdb32e5ecd3b47f3d033f53041759
|
3 |
+
size 167985159
|
imagenette2-160/VICRegl50/epoch=63-step=2304.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4916b05c1c14e730cf2403fe236f457d90516f2cbdd6240cf46ddb01e8712713
|
3 |
+
size 167984455
|
imagenette2-160/VICRegl75/epoch=199-step=7200-v1.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e18f9e36d502f81a79cf1fdfab102af9d13999e9dd11fdf123945a157de12f33
|
3 |
+
size 167984455
|
imagenette2-160/VICRegl75/epoch=199-step=7200-v2.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4c4450afd80c5dd5f39ad92a3ba97882b9ec4afa9b8d2335f10ee3096cbb44eb
|
3 |
+
size 167984455
|
imagenette2-160/VICRegl75/epoch=199-step=7200-v3.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8f762b16f755ff10049d96753e444f4081397f7ebbe7b331a5a3c45bc18df79f
|
3 |
+
size 167984071
|
imagenette2-160/VICRegl75/epoch=199-step=7200-v4.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5caf475d74867c65265c4be22e4dfb573c3a7ed650e9d9398a83cb5ac99b6d15
|
3 |
+
size 167984071
|
imagenette2-160/VICRegl75/epoch=199-step=7200.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ea2a6dcd4e81a3a49e0017a3b305a0dc7176fb91f560a5c80ed66808cb062643
|
3 |
+
size 167985159
|
imagenette2-160/VICRegl95/epoch=199-step=7200-v1.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:276f659eb69894668c65728dbaf8976ba719131480fd86d2f5104bd94a349e8a
|
3 |
+
size 167984455
|
imagenette2-160/VICRegl95/epoch=199-step=7200-v2.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aa4b79934ff59137e98d3c630c5071b669e2018f77adbe12e5abd5be334293a5
|
3 |
+
size 167984455
|
imagenette2-160/VICRegl95/epoch=199-step=7200-v3.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cba1fd47a3b2e66b6bd511ffa5f2b68056e4bb786101325d8f6a9195b6264a3c
|
3 |
+
size 167984071
|