AZIIIIIIIIZ commited on
Commit
836400b
1 Parent(s): 9d37c9c

End of training

Browse files
README.md ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: google/vit-base-patch16-224
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: vit-base-patch16-224-finetuned-eurosat
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # vit-base-patch16-224-finetuned-eurosat
15
+
16
+ This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - eval_loss: 0.1420
19
+ - eval_accuracy: 0.9472
20
+ - eval_runtime: 189.3891
21
+ - eval_samples_per_second: 80.633
22
+ - eval_steps_per_second: 2.524
23
+ - epoch: 1.2070
24
+ - step: 1296
25
+
26
+ ## Model description
27
+
28
+ More information needed
29
+
30
+ ## Intended uses & limitations
31
+
32
+ More information needed
33
+
34
+ ## Training and evaluation data
35
+
36
+ More information needed
37
+
38
+ ## Training procedure
39
+
40
+ ### Training hyperparameters
41
+
42
+ The following hyperparameters were used during training:
43
+ - learning_rate: 5e-05
44
+ - train_batch_size: 32
45
+ - eval_batch_size: 32
46
+ - seed: 42
47
+ - gradient_accumulation_steps: 4
48
+ - total_train_batch_size: 128
49
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
50
+ - lr_scheduler_type: linear
51
+ - lr_scheduler_warmup_ratio: 0.1
52
+ - num_epochs: 10
53
+
54
+ ### Framework versions
55
+
56
+ - Transformers 4.41.2
57
+ - Pytorch 2.3.0+cu121
58
+ - Datasets 2.20.0
59
+ - Tokenizers 0.19.1
all_results.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "eval_accuracy": 0.9471547377381966,
3
+ "eval_loss": 0.14200514554977417
4
+ }
eval_results.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "eval_accuracy": 0.9471547377381966,
3
+ "eval_loss": 0.14200514554977417
4
+ }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:52da628ec206dcc58ad5ba0d4991fdf63fcd47f6429d0e63c9e60d6959ac3031
3
  size 343223968
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:460621f1dfd68cdadd37c3fd8a348103461c1a666dd400c8e57c9ab3ad59daeb
3
  size 343223968
runs/Jun21_04-07-48_61023cd4bb0b/events.out.tfevents.1718942937.61023cd4bb0b.1960.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7393a37ae19976c97de6f3fcc520121b67b7a92eebfc88593efbe70e0a90010f
3
- size 27740
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cbfa5d00c21b4fc28db7c231d45d9f4a3c0587ed574f9f7b872d2e572a55231e
3
+ size 32705