Hugging Face's logo

Aruno
/
gemini-beauty

Image Classification
Transformers
TensorBoard
Safetensors
mobilenet_v2
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
Aruno commited on
Commit
5259523
•
1 Parent(s): 185dfe2

End of training

Browse files
Files changed (3) hide show
  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Jan11_16-34-34_arnaud-Mouse-GPU/events.out.tfevents.1704958474.arnaud-Mouse-GPU.20850.0 +2 -2
README.md CHANGED
@@ -20,7 +20,7 @@ model-index:
20
  metrics:
21
  - name: Accuracy
22
  type: accuracy
23
- value: 0.5179628064243449
24
  ---
25
 
26
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,8 +30,8 @@ should probably proofread and complete it, then remove this comment. -->
30
 
31
  This model is a fine-tuned version of [](https://huggingface.co/) on the imagefolder dataset.
32
  It achieves the following results on the evaluation set:
33
- - Loss: 1.1160
34
- - Accuracy: 0.5180
35
 
36
  ## Model description
37
 
@@ -65,14 +65,14 @@ The following hyperparameters were used during training:
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
- | 1.3947 | 1.0 | 148 | 1.2066 | 0.4372 |
69
- | 1.3332 | 2.0 | 296 | 1.1703 | 0.4734 |
70
- | 1.2637 | 3.0 | 444 | 1.1678 | 0.4780 |
71
- | 1.2277 | 4.0 | 592 | 1.1359 | 0.4996 |
72
- | 1.2704 | 5.0 | 740 | 1.1407 | 0.5002 |
73
- | 1.2099 | 6.0 | 888 | 1.1332 | 0.5131 |
74
- | 1.1858 | 7.0 | 1036 | 1.1704 | 0.4803 |
75
- | 1.156 | 8.0 | 1184 | 1.1160 | 0.5180 |
76
 
77
 
78
  ### Framework versions
 
20
  metrics:
21
  - name: Accuracy
22
  type: accuracy
23
+ value: 0.5158495350803043
24
  ---
25
 
26
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
30
 
31
  This model is a fine-tuned version of [](https://huggingface.co/) on the imagefolder dataset.
32
  It achieves the following results on the evaluation set:
33
+ - Loss: 1.1226
34
+ - Accuracy: 0.5158
35
 
36
  ## Model description
37
 
 
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
+ | 1.3724 | 1.0 | 148 | 1.2028 | 0.4586 |
69
+ | 1.3217 | 2.0 | 296 | 1.1831 | 0.4812 |
70
+ | 1.2649 | 3.0 | 444 | 1.1674 | 0.4981 |
71
+ | 1.2456 | 4.0 | 592 | 1.1236 | 0.5146 |
72
+ | 1.2176 | 5.0 | 740 | 1.1384 | 0.5040 |
73
+ | 1.2069 | 6.0 | 888 | 1.1165 | 0.5207 |
74
+ | 1.2083 | 7.0 | 1036 | 1.1663 | 0.4985 |
75
+ | 1.1663 | 8.0 | 1184 | 1.1226 | 0.5158 |
76
 
77
 
78
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:bf8c73718702defde6f5363146e4164ff1ec83a93993234e5b18827a45147730
3
  size 9095588
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:71d33a7fd988b5d2f91f5ae1f798f7e9553f4efc94eb769382f3e8a466f45145
3
  size 9095588
runs/Jan11_16-34-34_arnaud-Mouse-GPU/events.out.tfevents.1704958474.arnaud-Mouse-GPU.20850.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:74217abc137af586f5d6c2fea8604417988a5f1ef233fdac5f83fa517e632ac0
3
- size 22849
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f939e846c04f06476a88e8154d1f58099cb38135514717b48c0dcf614c447774
3
+ size 25881