gianlab commited on
Commit
d230d9c
1 Parent(s): 104c9e8

End of training

Browse files
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.6985040276179517
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 [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.7308
36
- - Accuracy: 0.6985
37
 
38
  ## Model description
39
 
@@ -67,7 +67,7 @@ The following hyperparameters were used during training:
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
- | 0.7715 | 1.0 | 183 | 0.7308 | 0.6985 |
71
 
72
 
73
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 1.0
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 [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.0000
36
+ - Accuracy: 1.0
37
 
38
  ## Model description
39
 
 
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
+ | 0.0476 | 1.0 | 697 | 0.0000 | 1.0 |
71
 
72
 
73
  ### Framework versions
all_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 1.0,
3
- "eval_accuracy": 0.6985040276179517,
4
- "eval_loss": 0.7308106422424316,
5
- "eval_runtime": 65.3069,
6
- "eval_samples_per_second": 39.919,
7
- "eval_steps_per_second": 1.256
8
  }
 
1
  {
2
  "epoch": 1.0,
3
+ "eval_accuracy": 1.0,
4
+ "eval_loss": 4.442937324711238e-07,
5
+ "eval_runtime": 88.5912,
6
+ "eval_samples_per_second": 111.975,
7
+ "eval_steps_per_second": 3.499
8
  }
eval_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 1.0,
3
- "eval_accuracy": 0.6985040276179517,
4
- "eval_loss": 0.7308106422424316,
5
- "eval_runtime": 65.3069,
6
- "eval_samples_per_second": 39.919,
7
- "eval_steps_per_second": 1.256
8
  }
 
1
  {
2
  "epoch": 1.0,
3
+ "eval_accuracy": 1.0,
4
+ "eval_loss": 4.442937324711238e-07,
5
+ "eval_runtime": 88.5912,
6
+ "eval_samples_per_second": 111.975,
7
+ "eval_steps_per_second": 3.499
8
  }
runs/Jan15_09-34-29_5f8ebb307233/events.out.tfevents.1705313000.5f8ebb307233.676.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:be3017daf323b0e9b9466f662667aabec6597722d0cb7bc18deabb79ccc8eaf9
3
+ size 411