Hugging Face's logo

habibi26
/
ktp-not-ktp-clip

Image Classification
Transformers
TensorBoard
Safetensors
clip
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
habibi26 commited on
Commit
402c660
•
1 Parent(s): b76e876

Model save

Browse files
Files changed (3) hide show
  1. README.md +90 -0
  2. model.safetensors +1 -1
  3. runs/Jun14_06-42-50_3240730f7033/events.out.tfevents.1718347397.3240730f7033.186.0 +2 -2
README.md ADDED
@@ -0,0 +1,90 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: openai/clip-vit-base-patch32
3
+ tags:
4
+ - generated_from_trainer
5
+ datasets:
6
+ - imagefolder
7
+ metrics:
8
+ - accuracy
9
+ model-index:
10
+ - name: ktp-not-ktp-clip
11
+ results:
12
+ - task:
13
+ name: Image Classification
14
+ type: image-classification
15
+ dataset:
16
+ name: imagefolder
17
+ type: imagefolder
18
+ config: default
19
+ split: validation
20
+ args: default
21
+ metrics:
22
+ - name: Accuracy
23
+ type: accuracy
24
+ value: 0.9900990099009901
25
+ ---
26
+
27
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
28
+ should probably proofread and complete it, then remove this comment. -->
29
+
30
+ # ktp-not-ktp-clip
31
+
32
+ This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on the imagefolder dataset.
33
+ It achieves the following results on the evaluation set:
34
+ - Loss: 0.0368
35
+ - Accuracy: 0.9901
36
+
37
+ ## Model description
38
+
39
+ More information needed
40
+
41
+ ## Intended uses & limitations
42
+
43
+ More information needed
44
+
45
+ ## Training and evaluation data
46
+
47
+ More information needed
48
+
49
+ ## Training procedure
50
+
51
+ ### Training hyperparameters
52
+
53
+ The following hyperparameters were used during training:
54
+ - learning_rate: 5e-05
55
+ - train_batch_size: 16
56
+ - eval_batch_size: 16
57
+ - seed: 42
58
+ - gradient_accumulation_steps: 4
59
+ - total_train_batch_size: 64
60
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
61
+ - lr_scheduler_type: linear
62
+ - lr_scheduler_warmup_ratio: 0.1
63
+ - num_epochs: 15
64
+
65
+ ### Training results
66
+
67
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
68
+ |:-------------:|:-------:|:----:|:---------------:|:--------:|
69
+ | No log | 0.9231 | 3 | 0.5958 | 0.5842 |
70
+ | No log | 1.8462 | 6 | 0.3044 | 0.9208 |
71
+ | No log | 2.7692 | 9 | 0.7273 | 0.7129 |
72
+ | 0.5359 | 4.0 | 13 | 0.0641 | 0.9901 |
73
+ | 0.5359 | 4.9231 | 16 | 0.0223 | 0.9901 |
74
+ | 0.5359 | 5.8462 | 19 | 0.0094 | 1.0 |
75
+ | 0.1299 | 6.7692 | 22 | 0.1034 | 0.9802 |
76
+ | 0.1299 | 8.0 | 26 | 0.0095 | 0.9901 |
77
+ | 0.1299 | 8.9231 | 29 | 0.0645 | 0.9901 |
78
+ | 0.0218 | 9.8462 | 32 | 0.1035 | 0.9901 |
79
+ | 0.0218 | 10.7692 | 35 | 0.0661 | 0.9901 |
80
+ | 0.0218 | 12.0 | 39 | 0.0406 | 0.9901 |
81
+ | 0.0419 | 12.9231 | 42 | 0.0367 | 0.9901 |
82
+ | 0.0419 | 13.8462 | 45 | 0.0368 | 0.9901 |
83
+
84
+
85
+ ### Framework versions
86
+
87
+ - Transformers 4.41.2
88
+ - Pytorch 2.1.2
89
+ - Datasets 2.19.2
90
+ - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a8afff69520c7aef820fb8cdcf97049e9e71029f0330348eb704466db4872270
3
  size 349854120
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:34d545eb960f0ee43a899cfca16ecf5e2a1fd9a94402b3415b16030816adedd2
3
  size 349854120
runs/Jun14_06-42-50_3240730f7033/events.out.tfevents.1718347397.3240730f7033.186.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9ac1c4fbe4726893660528d131acb38da7dc089d36ea51707513741956a70229
3
- size 9683
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:be72d53509cfde0b7384aaf7bf1e6e15e62d32e80b191284d0f2a5ced50892be
3
+ size 10348