Hugging Face's logo

hemakumari
/
vit-base-patch16-224-in21k-finetunedmangodisease

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
hemakumari commited on
Commit
06cf4ba
•
1 Parent(s): 0bf13ad

Model save

Browse files
Files changed (3) hide show
  1. README.md +10 -8
  2. model.safetensors +1 -1
  3. runs/Mar13_07-32-00_be0be0d60671/events.out.tfevents.1710315137.be0be0d60671.34.6 +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.6666666666666666
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the image_folder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 1.2039
36
- - Accuracy: 0.6667
37
 
38
  ## Model description
39
 
@@ -52,7 +52,7 @@ More information needed
52
  ### Training hyperparameters
53
 
54
  The following hyperparameters were used during training:
55
- - learning_rate: 2e-05
56
  - train_batch_size: 32
57
  - eval_batch_size: 32
58
  - seed: 42
@@ -61,15 +61,17 @@ The following hyperparameters were used during training:
61
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
62
  - lr_scheduler_type: linear
63
  - lr_scheduler_warmup_ratio: 0.01
64
- - num_epochs: 3
65
 
66
  ### Training results
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
- | No log | 0.96 | 6 | 1.2279 | 0.6322 |
71
- | 0.4158 | 1.92 | 12 | 1.2115 | 0.6437 |
72
- | 0.4158 | 2.88 | 18 | 1.2039 | 0.6667 |
 
 
73
 
74
 
75
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.6206896551724138
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
32
 
33
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the image_folder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 1.2023
36
+ - Accuracy: 0.6207
37
 
38
  ## Model description
39
 
 
52
  ### Training hyperparameters
53
 
54
  The following hyperparameters were used during training:
55
+ - learning_rate: 5e-05
56
  - train_batch_size: 32
57
  - eval_batch_size: 32
58
  - seed: 42
 
61
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
62
  - lr_scheduler_type: linear
63
  - lr_scheduler_warmup_ratio: 0.01
64
+ - num_epochs: 5
65
 
66
  ### Training results
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
+ | No log | 0.96 | 6 | 1.2097 | 0.6437 |
71
+ | 0.4195 | 1.92 | 12 | 1.1981 | 0.6322 |
72
+ | 0.4195 | 2.88 | 18 | 1.1809 | 0.6437 |
73
+ | 0.5111 | 4.0 | 25 | 1.2069 | 0.6207 |
74
+ | 0.4519 | 4.8 | 30 | 1.2023 | 0.6207 |
75
 
76
 
77
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a1aa41f8144ae06fc899ca84abe63eabdc0b2b3f6a90f3243de0359282bab9c9
3
  size 343233204
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:db231dcc11a001a85fddfc20f6b61369bf79f2c0c483938182d13ce192ca4861
3
  size 343233204
runs/Mar13_07-32-00_be0be0d60671/events.out.tfevents.1710315137.be0be0d60671.34.6 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:63199115bde45c486900a8981f8680d3c1c0663beec72bebe81e379e2824cb9a
3
- size 7124
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e5d0891a25d129d88f9c3c669b476df27ab7c448d5f7959128aa135528b22de7
3
+ size 7472