Hugging Face's logo

jayanthspratap
/
convnext-tiny-224-drfx-CT-classifier

Image Classification
Transformers
PyTorch
TensorBoard
convnext
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
1
jayanthspratap commited on
Commit
5530ef6
•
1 Parent(s): 69f8005

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +19 -9
README.md CHANGED
@@ -21,7 +21,7 @@ model-index:
21
  metrics:
22
  - name: Accuracy
23
  type: accuracy
24
- value: 0.5294117647058824
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
31
 
32
  This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
33
  It achieves the following results on the evaluation set:
34
- - Loss: 0.7017
35
- - Accuracy: 0.5294
36
 
37
  ## Model description
38
 
@@ -60,17 +60,27 @@ The following hyperparameters were used during training:
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: 5
64
 
65
  ### Training results
66
 
67
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
68
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
69
- | No log | 1.0 | 4 | 0.7158 | 0.4118 |
70
- | No log | 2.0 | 8 | 0.7130 | 0.5882 |
71
- | 0.6797 | 3.0 | 12 | 0.7115 | 0.5882 |
72
- | 0.6797 | 4.0 | 16 | 0.7026 | 0.5294 |
73
- | 0.6529 | 5.0 | 20 | 0.7017 | 0.5294 |
 
 
 
 
 
 
 
 
 
 
74
 
75
 
76
  ### Framework versions
 
21
  metrics:
22
  - name: Accuracy
23
  type: accuracy
24
+ value: 0.7647058823529411
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
31
 
32
  This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
33
  It achieves the following results on the evaluation set:
34
+ - Loss: 0.6452
35
+ - Accuracy: 0.7647
36
 
37
  ## Model description
38
 
 
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 | 1.0 | 4 | 0.7084 | 0.5882 |
70
+ | No log | 2.0 | 8 | 0.7021 | 0.5294 |
71
+ | 0.6143 | 3.0 | 12 | 0.7024 | 0.4118 |
72
+ | 0.6143 | 4.0 | 16 | 0.6856 | 0.5294 |
73
+ | 0.6154 | 5.0 | 20 | 0.6955 | 0.5294 |
74
+ | 0.6154 | 6.0 | 24 | 0.7119 | 0.5294 |
75
+ | 0.6154 | 7.0 | 28 | 0.7086 | 0.5882 |
76
+ | 0.5786 | 8.0 | 32 | 0.6967 | 0.5882 |
77
+ | 0.5786 | 9.0 | 36 | 0.6773 | 0.6471 |
78
+ | 0.5026 | 10.0 | 40 | 0.6537 | 0.7647 |
79
+ | 0.5026 | 11.0 | 44 | 0.6439 | 0.7647 |
80
+ | 0.5026 | 12.0 | 48 | 0.6390 | 0.7647 |
81
+ | 0.5086 | 13.0 | 52 | 0.6434 | 0.7647 |
82
+ | 0.5086 | 14.0 | 56 | 0.6425 | 0.7647 |
83
+ | 0.448 | 15.0 | 60 | 0.6452 | 0.7647 |
84
 
85
 
86
  ### Framework versions