vuongnhathien
commited on
Commit
•
d21a669
1
Parent(s):
25348dc
Model save
Browse files
README.md
ADDED
@@ -0,0 +1,99 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: google/vit-base-patch16-224
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
datasets:
|
7 |
+
- imagefolder
|
8 |
+
metrics:
|
9 |
+
- accuracy
|
10 |
+
model-index:
|
11 |
+
- name: vit-base-25ep
|
12 |
+
results:
|
13 |
+
- task:
|
14 |
+
name: Image Classification
|
15 |
+
type: image-classification
|
16 |
+
dataset:
|
17 |
+
name: imagefolder
|
18 |
+
type: imagefolder
|
19 |
+
config: default
|
20 |
+
split: validation
|
21 |
+
args: default
|
22 |
+
metrics:
|
23 |
+
- name: Accuracy
|
24 |
+
type: accuracy
|
25 |
+
value: 0.8486111111111111
|
26 |
+
---
|
27 |
+
|
28 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
29 |
+
should probably proofread and complete it, then remove this comment. -->
|
30 |
+
|
31 |
+
# vit-base-25ep
|
32 |
+
|
33 |
+
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
|
34 |
+
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 0.5506
|
36 |
+
- Accuracy: 0.8486
|
37 |
+
|
38 |
+
## Model description
|
39 |
+
|
40 |
+
More information needed
|
41 |
+
|
42 |
+
## Intended uses & limitations
|
43 |
+
|
44 |
+
More information needed
|
45 |
+
|
46 |
+
## Training and evaluation data
|
47 |
+
|
48 |
+
More information needed
|
49 |
+
|
50 |
+
## Training procedure
|
51 |
+
|
52 |
+
### Training hyperparameters
|
53 |
+
|
54 |
+
The following hyperparameters were used during training:
|
55 |
+
- learning_rate: 0.0003
|
56 |
+
- train_batch_size: 64
|
57 |
+
- eval_batch_size: 16
|
58 |
+
- seed: 42
|
59 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
60 |
+
- lr_scheduler_type: linear
|
61 |
+
- num_epochs: 25
|
62 |
+
|
63 |
+
### Training results
|
64 |
+
|
65 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
66 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
67 |
+
| 0.6167 | 1.0 | 275 | 0.5712 | 0.8354 |
|
68 |
+
| 0.3183 | 2.0 | 550 | 0.5564 | 0.8406 |
|
69 |
+
| 0.1729 | 3.0 | 825 | 0.5955 | 0.8433 |
|
70 |
+
| 0.139 | 4.0 | 1100 | 0.6453 | 0.8406 |
|
71 |
+
| 0.0775 | 5.0 | 1375 | 0.6044 | 0.8517 |
|
72 |
+
| 0.0784 | 6.0 | 1650 | 0.7265 | 0.8414 |
|
73 |
+
| 0.0502 | 7.0 | 1925 | 0.6977 | 0.8533 |
|
74 |
+
| 0.0525 | 8.0 | 2200 | 0.7100 | 0.8549 |
|
75 |
+
| 0.0311 | 9.0 | 2475 | 0.7423 | 0.8525 |
|
76 |
+
| 0.026 | 10.0 | 2750 | 0.7901 | 0.8461 |
|
77 |
+
| 0.0183 | 11.0 | 3025 | 0.7261 | 0.8592 |
|
78 |
+
| 0.0218 | 12.0 | 3300 | 0.8014 | 0.8485 |
|
79 |
+
| 0.0135 | 13.0 | 3575 | 0.7391 | 0.8584 |
|
80 |
+
| 0.0066 | 14.0 | 3850 | 0.6938 | 0.8740 |
|
81 |
+
| 0.0047 | 15.0 | 4125 | 0.6765 | 0.8815 |
|
82 |
+
| 0.0052 | 16.0 | 4400 | 0.6611 | 0.8839 |
|
83 |
+
| 0.0033 | 17.0 | 4675 | 0.6794 | 0.8803 |
|
84 |
+
| 0.0037 | 18.0 | 4950 | 0.6724 | 0.8811 |
|
85 |
+
| 0.0026 | 19.0 | 5225 | 0.6759 | 0.8875 |
|
86 |
+
| 0.0031 | 20.0 | 5500 | 0.6699 | 0.8855 |
|
87 |
+
| 0.0028 | 21.0 | 5775 | 0.6720 | 0.8847 |
|
88 |
+
| 0.0029 | 22.0 | 6050 | 0.6746 | 0.8843 |
|
89 |
+
| 0.0016 | 23.0 | 6325 | 0.6731 | 0.8859 |
|
90 |
+
| 0.0016 | 24.0 | 6600 | 0.6759 | 0.8859 |
|
91 |
+
| 0.0019 | 25.0 | 6875 | 0.6767 | 0.8847 |
|
92 |
+
|
93 |
+
|
94 |
+
### Framework versions
|
95 |
+
|
96 |
+
- Transformers 4.39.3
|
97 |
+
- Pytorch 2.1.2
|
98 |
+
- Datasets 2.18.0
|
99 |
+
- Tokenizers 0.15.2
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 343310104
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d6e5b90ab50d6868d9818fa87cba2bda404df47f2cc00340729b162ab09f3279
|
3 |
size 343310104
|
runs/May21_17-05-00_ccd549edd53e/events.out.tfevents.1716330092.ccd549edd53e.24.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1dddfffb1fc824f3d749549178daacbe2b05d76996998c7817eb448eca64d16c
|
3 |
+
size 411
|