Model save
Browse files- README.md +77 -0
- model.safetensors +1 -1
README.md
ADDED
@@ -0,0 +1,77 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
tags:
|
3 |
+
- generated_from_trainer
|
4 |
+
datasets:
|
5 |
+
- imagefolder
|
6 |
+
metrics:
|
7 |
+
- accuracy
|
8 |
+
model-index:
|
9 |
+
- name: vit_epochs5_batch32_lr5e-05_size224_tiles1_seed1_classic_image_classification_t
|
10 |
+
results:
|
11 |
+
- task:
|
12 |
+
name: Image Classification
|
13 |
+
type: image-classification
|
14 |
+
dataset:
|
15 |
+
name: imagefolder
|
16 |
+
type: imagefolder
|
17 |
+
config: default
|
18 |
+
split: train
|
19 |
+
args: default
|
20 |
+
metrics:
|
21 |
+
- name: Accuracy
|
22 |
+
type: accuracy
|
23 |
+
value: 0.9954666666666667
|
24 |
+
---
|
25 |
+
|
26 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
27 |
+
should probably proofread and complete it, then remove this comment. -->
|
28 |
+
|
29 |
+
# vit_epochs5_batch32_lr5e-05_size224_tiles1_seed1_classic_image_classification_t
|
30 |
+
|
31 |
+
This model was trained from scratch on the imagefolder dataset.
|
32 |
+
It achieves the following results on the evaluation set:
|
33 |
+
- Loss: 0.0181
|
34 |
+
- Accuracy: 0.9955
|
35 |
+
|
36 |
+
## Model description
|
37 |
+
|
38 |
+
More information needed
|
39 |
+
|
40 |
+
## Intended uses & limitations
|
41 |
+
|
42 |
+
More information needed
|
43 |
+
|
44 |
+
## Training and evaluation data
|
45 |
+
|
46 |
+
More information needed
|
47 |
+
|
48 |
+
## Training procedure
|
49 |
+
|
50 |
+
### Training hyperparameters
|
51 |
+
|
52 |
+
The following hyperparameters were used during training:
|
53 |
+
- learning_rate: 5e-05
|
54 |
+
- train_batch_size: 32
|
55 |
+
- eval_batch_size: 32
|
56 |
+
- seed: 42
|
57 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
58 |
+
- lr_scheduler_type: linear
|
59 |
+
- num_epochs: 5
|
60 |
+
|
61 |
+
### Training results
|
62 |
+
|
63 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
64 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
65 |
+
| 0.006 | 1.0 | 469 | 0.0248 | 0.9925 |
|
66 |
+
| 0.0019 | 2.0 | 938 | 0.0275 | 0.9931 |
|
67 |
+
| 0.0012 | 3.0 | 1407 | 0.0207 | 0.9952 |
|
68 |
+
| 0.0008 | 4.0 | 1876 | 0.0171 | 0.9955 |
|
69 |
+
| 0.0007 | 5.0 | 2345 | 0.0181 | 0.9955 |
|
70 |
+
|
71 |
+
|
72 |
+
### Framework versions
|
73 |
+
|
74 |
+
- Transformers 4.41.0
|
75 |
+
- Pytorch 2.3.0+cu121
|
76 |
+
- Datasets 2.19.1
|
77 |
+
- Tokenizers 0.19.1
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 343223968
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:77eb274f572a1aaef2c89bae7b2b12ba5ece0d323858a450fe09ff8c981e65ee
|
3 |
size 343223968
|