Yogesh1p commited on
Commit
91a028d
1 Parent(s): 83cc08b

End of training

Browse files
README.md CHANGED
@@ -32,7 +32,7 @@ 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: 0.7097
36
  - Accuracy: 0.5455
37
 
38
  ## Model description
 
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: 0.6864
36
  - Accuracy: 0.5455
37
 
38
  ## Model description
all_results.json CHANGED
@@ -1,13 +1,13 @@
1
  {
2
  "epoch": 3.0,
3
- "eval_accuracy": 1.0,
4
- "eval_loss": 0.4499998092651367,
5
- "eval_runtime": 0.1235,
6
- "eval_samples_per_second": 89.062,
7
- "eval_steps_per_second": 8.097,
8
- "total_flos": 7085540403486720.0,
9
- "train_loss": 0.32062318325042727,
10
- "train_runtime": 11.6363,
11
- "train_samples_per_second": 40.821,
12
- "train_steps_per_second": 0.43
13
  }
 
1
  {
2
  "epoch": 3.0,
3
+ "eval_accuracy": 0.5454545454545454,
4
+ "eval_loss": 0.6863706707954407,
5
+ "eval_runtime": 0.17,
6
+ "eval_samples_per_second": 64.7,
7
+ "eval_steps_per_second": 5.882,
8
+ "total_flos": 7083956860968960.0,
9
+ "train_loss": 0.2968639135360718,
10
+ "train_runtime": 9.893,
11
+ "train_samples_per_second": 48.014,
12
+ "train_steps_per_second": 0.505
13
  }
eval_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 3.0,
3
- "eval_accuracy": 1.0,
4
- "eval_loss": 0.4499998092651367,
5
- "eval_runtime": 0.1235,
6
- "eval_samples_per_second": 89.062,
7
- "eval_steps_per_second": 8.097
8
  }
 
1
  {
2
  "epoch": 3.0,
3
+ "eval_accuracy": 0.5454545454545454,
4
+ "eval_loss": 0.6863706707954407,
5
+ "eval_runtime": 0.17,
6
+ "eval_samples_per_second": 64.7,
7
+ "eval_steps_per_second": 5.882
8
  }
runs/Nov15_17-00-58_842987acb68e/events.out.tfevents.1700067674.842987acb68e.893.6 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6074b85bf6fdc829ad50cac9c24f4e52446f062ed9d065c41fdff27d4f0e3972
3
+ size 405
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 3.0,
3
- "total_flos": 7085540403486720.0,
4
- "train_loss": 0.32062318325042727,
5
- "train_runtime": 11.6363,
6
- "train_samples_per_second": 40.821,
7
- "train_steps_per_second": 0.43
8
  }
 
1
  {
2
  "epoch": 3.0,
3
+ "total_flos": 7083956860968960.0,
4
+ "train_loss": 0.2968639135360718,
5
+ "train_runtime": 9.893,
6
+ "train_samples_per_second": 48.014,
7
+ "train_steps_per_second": 0.505
8
  }
trainer_state.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
- "best_metric": 1.0,
3
- "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-3",
4
  "epoch": 3.0,
5
  "eval_steps": 500,
6
  "global_step": 5,
@@ -10,46 +10,46 @@
10
  "log_history": [
11
  {
12
  "epoch": 1.0,
13
- "eval_accuracy": 0.36363636363636365,
14
- "eval_loss": 1.4925850629806519,
15
- "eval_runtime": 0.1954,
16
- "eval_samples_per_second": 56.289,
17
- "eval_steps_per_second": 5.117,
18
  "step": 1
19
  },
20
  {
21
  "epoch": 2.0,
22
- "eval_accuracy": 1.0,
23
- "eval_loss": 0.4499998092651367,
24
- "eval_runtime": 0.1931,
25
- "eval_samples_per_second": 56.963,
26
- "eval_steps_per_second": 5.178,
27
  "step": 3
28
  },
29
  {
30
  "epoch": 3.0,
31
- "eval_accuracy": 1.0,
32
- "eval_loss": 0.25890451669692993,
33
- "eval_runtime": 0.0966,
34
- "eval_samples_per_second": 113.929,
35
- "eval_steps_per_second": 10.357,
36
  "step": 5
37
  },
38
  {
39
  "epoch": 3.0,
40
  "step": 5,
41
- "total_flos": 7085540403486720.0,
42
- "train_loss": 0.32062318325042727,
43
- "train_runtime": 11.6363,
44
- "train_samples_per_second": 40.821,
45
- "train_steps_per_second": 0.43
46
  }
47
  ],
48
  "logging_steps": 10,
49
  "max_steps": 5,
50
  "num_train_epochs": 5,
51
  "save_steps": 500,
52
- "total_flos": 7085540403486720.0,
53
  "trial_name": null,
54
  "trial_params": null
55
  }
 
1
  {
2
+ "best_metric": 0.5454545454545454,
3
+ "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-1",
4
  "epoch": 3.0,
5
  "eval_steps": 500,
6
  "global_step": 5,
 
10
  "log_history": [
11
  {
12
  "epoch": 1.0,
13
+ "eval_accuracy": 0.5454545454545454,
14
+ "eval_loss": 0.6863706707954407,
15
+ "eval_runtime": 0.0886,
16
+ "eval_samples_per_second": 124.102,
17
+ "eval_steps_per_second": 11.282,
18
  "step": 1
19
  },
20
  {
21
  "epoch": 2.0,
22
+ "eval_accuracy": 0.5454545454545454,
23
+ "eval_loss": 0.7666234970092773,
24
+ "eval_runtime": 0.1216,
25
+ "eval_samples_per_second": 90.44,
26
+ "eval_steps_per_second": 8.222,
27
  "step": 3
28
  },
29
  {
30
  "epoch": 3.0,
31
+ "eval_accuracy": 0.5454545454545454,
32
+ "eval_loss": 0.7096567749977112,
33
+ "eval_runtime": 0.151,
34
+ "eval_samples_per_second": 72.86,
35
+ "eval_steps_per_second": 6.624,
36
  "step": 5
37
  },
38
  {
39
  "epoch": 3.0,
40
  "step": 5,
41
+ "total_flos": 7083956860968960.0,
42
+ "train_loss": 0.2968639135360718,
43
+ "train_runtime": 9.893,
44
+ "train_samples_per_second": 48.014,
45
+ "train_steps_per_second": 0.505
46
  }
47
  ],
48
  "logging_steps": 10,
49
  "max_steps": 5,
50
  "num_train_epochs": 5,
51
  "save_steps": 500,
52
+ "total_flos": 7083956860968960.0,
53
  "trial_name": null,
54
  "trial_params": null
55
  }