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Chandanab
/
vit-base-patch16-224-in21k-finetuned-eurosat

Image Classification
Transformers
PyTorch
vit
Generated from Trainer
Eval Results
Model card Files Community
Chandanab commited on
Commit
aab1ef3
·
1 Parent(s): fe27906

End of training

Browse files
Files changed (2) hide show
  1. all_results.json +6 -6
  2. eval_results.json +6 -6
all_results.json CHANGED
@@ -1,10 +1,10 @@
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  {
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- "epoch": 4.87,
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- "eval_accuracy": 0.7016393442622951,
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- "eval_loss": 1.579892635345459,
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- "eval_runtime": 79.8399,
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- "eval_samples_per_second": 3.82,
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- "eval_steps_per_second": 0.125,
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  "total_flos": 2.05508756457898e+17,
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  "train_loss": 0.5188029011090597,
10
  "train_runtime": 1115.1172,
 
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  {
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+ "epoch": 4.91,
3
+ "eval_accuracy": 0.9016949152542373,
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+ "eval_loss": 0.36480772495269775,
5
+ "eval_runtime": 47.0343,
6
+ "eval_samples_per_second": 6.272,
7
+ "eval_steps_per_second": 0.213,
8
  "total_flos": 2.05508756457898e+17,
9
  "train_loss": 0.5188029011090597,
10
  "train_runtime": 1115.1172,
eval_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
- "epoch": 4.87,
3
- "eval_accuracy": 0.7016393442622951,
4
- "eval_loss": 1.579892635345459,
5
- "eval_runtime": 79.8399,
6
- "eval_samples_per_second": 3.82,
7
- "eval_steps_per_second": 0.125
8
  }
 
1
  {
2
+ "epoch": 4.91,
3
+ "eval_accuracy": 0.9016949152542373,
4
+ "eval_loss": 0.36480772495269775,
5
+ "eval_runtime": 47.0343,
6
+ "eval_samples_per_second": 6.272,
7
+ "eval_steps_per_second": 0.213
8
  }