Hugging Face's logo

brigettesegovia
/
plant_classification

Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
brigettesegovia commited on
Commit
8c71937
·
verified ·
1 Parent(s): ee78fd8

Model save

Browse files
Files changed (2) hide show
  1. README.md +14 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,9 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.3484
22
- - Model Preparation Time: 0.0027
23
- - Accuracy: 0.9850
24
 
25
  ## Model description
26
 
@@ -39,23 +38,27 @@ More information needed
39
  ### Training hyperparameters
40
 
41
  The following hyperparameters were used during training:
42
- - learning_rate: 1e-05
43
  - train_batch_size: 16
44
  - eval_batch_size: 8
45
  - seed: 42
46
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
47
  - lr_scheduler_type: linear
48
- - lr_scheduler_warmup_ratio: 0.1
49
  - num_epochs: 6
50
- - label_smoothing_factor: 0.1
 
51
 
52
  ### Training results
53
 
54
- | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy |
55
- |:-------------:|:------:|:----:|:---------------:|:----------------------:|:--------:|
56
- | 0.484 | 1.5385 | 100 | 0.4657 | 0.0027 | 0.9098 |
57
- | 0.4002 | 3.0769 | 200 | 0.3610 | 0.0027 | 0.9699 |
58
- | 0.4059 | 4.6154 | 300 | 0.3484 | 0.0027 | 0.9850 |
 
 
 
59
 
60
 
61
  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.1808
22
+ - Accuracy: 1.0
 
23
 
24
  ## Model description
25
 
 
38
  ### Training hyperparameters
39
 
40
  The following hyperparameters were used during training:
41
+ - learning_rate: 5e-05
42
  - train_batch_size: 16
43
  - eval_batch_size: 8
44
  - seed: 42
45
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
46
  - lr_scheduler_type: linear
47
+ - lr_scheduler_warmup_ratio: 0.05
48
  - num_epochs: 6
49
+ - mixed_precision_training: Native AMP
50
+ - label_smoothing_factor: 0.05
51
 
52
  ### Training results
53
 
54
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
55
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
56
+ | 0.6848 | 1.0 | 65 | 0.2380 | 0.9699 |
57
+ | 0.3222 | 2.0 | 130 | 0.2236 | 0.9850 |
58
+ | 0.2839 | 3.0 | 195 | 0.2067 | 0.9925 |
59
+ | 0.2422 | 4.0 | 260 | 0.1800 | 1.0 |
60
+ | 0.246 | 5.0 | 325 | 0.1997 | 0.9774 |
61
+ | 0.2151 | 6.0 | 390 | 0.1808 | 1.0 |
62
 
63
 
64
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:561b9fe48150abb0c7f82358ebff423e0cd7a937e01174ce92dfaf4b0250b48f
3
  size 110345908
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2e1a1908437a8dd010befaf88307392e437888fd8f76f12b4b3ab777ad71afee
3
  size 110345908