Commit
•
8985b50
1
Parent(s):
bbab34e
commit files to HF hub
Browse files- README.md +31 -0
- config.json +32 -0
- preprocessor_config.json +17 -0
- pytorch_model.bin +3 -0
- runs/events.out.tfevents.1637322525.5dd872ffb86d.86.0 +3 -0
README.md
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
tags:
|
3 |
+
- image-classification
|
4 |
+
- pytorch
|
5 |
+
- huggingpics
|
6 |
+
metrics:
|
7 |
+
- accuracy
|
8 |
+
|
9 |
+
model-index:
|
10 |
+
- name: vision-transformer-fmri-classification-ft
|
11 |
+
results:
|
12 |
+
- task:
|
13 |
+
name: Image Classification
|
14 |
+
type: image-classification
|
15 |
+
metrics:
|
16 |
+
- name: Accuracy
|
17 |
+
type: accuracy
|
18 |
+
value: 0.7955589294433594
|
19 |
+
---
|
20 |
+
|
21 |
+
# vision-transformer-fmri-classification-ft
|
22 |
+
|
23 |
+
|
24 |
+
Autogenerated by HuggingPics🤗🖼️
|
25 |
+
|
26 |
+
Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
|
27 |
+
|
28 |
+
Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).
|
29 |
+
|
30 |
+
|
31 |
+
## Example Images
|
config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-base-patch16-224-in21k",
|
3 |
+
"architectures": [
|
4 |
+
"ViTForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"hidden_act": "gelu",
|
8 |
+
"hidden_dropout_prob": 0.0,
|
9 |
+
"hidden_size": 768,
|
10 |
+
"id2label": {
|
11 |
+
"0": "test",
|
12 |
+
"1": "train",
|
13 |
+
"2": "val"
|
14 |
+
},
|
15 |
+
"image_size": 224,
|
16 |
+
"initializer_range": 0.02,
|
17 |
+
"intermediate_size": 3072,
|
18 |
+
"label2id": {
|
19 |
+
"test": "0",
|
20 |
+
"train": "1",
|
21 |
+
"val": "2"
|
22 |
+
},
|
23 |
+
"layer_norm_eps": 1e-12,
|
24 |
+
"model_type": "vit",
|
25 |
+
"num_attention_heads": 12,
|
26 |
+
"num_channels": 3,
|
27 |
+
"num_hidden_layers": 12,
|
28 |
+
"patch_size": 16,
|
29 |
+
"qkv_bias": true,
|
30 |
+
"torch_dtype": "float32",
|
31 |
+
"transformers_version": "4.12.5"
|
32 |
+
}
|
preprocessor_config.json
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_resize": true,
|
4 |
+
"feature_extractor_type": "ViTFeatureExtractor",
|
5 |
+
"image_mean": [
|
6 |
+
0.5,
|
7 |
+
0.5,
|
8 |
+
0.5
|
9 |
+
],
|
10 |
+
"image_std": [
|
11 |
+
0.5,
|
12 |
+
0.5,
|
13 |
+
0.5
|
14 |
+
],
|
15 |
+
"resample": 2,
|
16 |
+
"size": 224
|
17 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cdd216b8602b3ca5f83edc61dc80f63bc2b5b285b88f01065c378b3dd4f4a165
|
3 |
+
size 343280113
|
runs/events.out.tfevents.1637322525.5dd872ffb86d.86.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:73234cdd516e2af1add85f7cda03efaba08a6a79b0e88b41a509261c5e649684
|
3 |
+
size 7771
|