pkr7098 commited on
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c8a4167
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1 Parent(s): 491aeac

End of training

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Files changed (5) hide show
  1. README.md +3 -1
  2. all_results.json +6 -6
  3. eval_results.json +3 -3
  4. train_results.json +3 -3
  5. trainer_state.json +18 -18
README.md CHANGED
@@ -5,6 +5,8 @@ license: apache-2.0
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  metrics:
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  - accuracy
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  tags:
 
 
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  - generated_from_trainer
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  model-index:
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  - name: vit-base-beans
@@ -16,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit-base-beans
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- This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.8347
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  - Accuracy: 0.8045
 
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  metrics:
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  - accuracy
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  tags:
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+ - image-classification
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+ - vision
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  - generated_from_trainer
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  model-index:
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  - name: vit-base-beans
 
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  # vit-base-beans
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+ This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.8347
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  - Accuracy: 0.8045
all_results.json CHANGED
@@ -2,12 +2,12 @@
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  "epoch": 5.0,
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  "eval_accuracy": 0.8045112781954887,
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  "eval_loss": 0.8347006440162659,
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- "eval_runtime": 8.7879,
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- "eval_samples_per_second": 15.134,
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- "eval_steps_per_second": 1.934,
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  "total_flos": 4.0477911662555136e+17,
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  "train_loss": 0.9380592258159931,
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- "train_runtime": 305.9476,
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- "train_samples_per_second": 16.898,
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- "train_steps_per_second": 2.125
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  }
 
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  "epoch": 5.0,
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  "eval_accuracy": 0.8045112781954887,
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  "eval_loss": 0.8347006440162659,
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+ "eval_runtime": 4.3276,
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+ "eval_samples_per_second": 30.733,
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+ "eval_steps_per_second": 3.928,
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  "total_flos": 4.0477911662555136e+17,
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  "train_loss": 0.9380592258159931,
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+ "train_runtime": 422.3657,
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+ "train_samples_per_second": 12.241,
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+ "train_steps_per_second": 1.539
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  }
eval_results.json CHANGED
@@ -2,7 +2,7 @@
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  "epoch": 5.0,
3
  "eval_accuracy": 0.8045112781954887,
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  "eval_loss": 0.8347006440162659,
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- "eval_runtime": 8.7879,
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- "eval_samples_per_second": 15.134,
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- "eval_steps_per_second": 1.934
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  }
 
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  "epoch": 5.0,
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  "eval_accuracy": 0.8045112781954887,
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  "eval_loss": 0.8347006440162659,
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+ "eval_runtime": 4.3276,
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+ "eval_samples_per_second": 30.733,
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+ "eval_steps_per_second": 3.928
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  }
train_results.json CHANGED
@@ -2,7 +2,7 @@
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  "epoch": 5.0,
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  "total_flos": 4.0477911662555136e+17,
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  "train_loss": 0.9380592258159931,
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- "train_runtime": 305.9476,
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- "train_samples_per_second": 16.898,
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- "train_steps_per_second": 2.125
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  }
 
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  "epoch": 5.0,
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  "total_flos": 4.0477911662555136e+17,
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  "train_loss": 0.9380592258159931,
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+ "train_runtime": 422.3657,
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+ "train_samples_per_second": 12.241,
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+ "train_steps_per_second": 1.539
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  }
trainer_state.json CHANGED
@@ -103,9 +103,9 @@
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  "epoch": 1.0,
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  "eval_accuracy": 0.6240601503759399,
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  "eval_loss": 1.0291587114334106,
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- "eval_runtime": 2.9581,
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- "eval_samples_per_second": 44.962,
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- "eval_steps_per_second": 5.747,
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  "step": 130
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  },
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  {
@@ -203,9 +203,9 @@
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  "epoch": 2.0,
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  "eval_accuracy": 0.7443609022556391,
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  "eval_loss": 0.9589495062828064,
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- "eval_runtime": 3.0861,
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- "eval_samples_per_second": 43.096,
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- "eval_steps_per_second": 5.509,
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  "step": 260
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  },
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  {
@@ -303,9 +303,9 @@
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  "epoch": 3.0,
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  "eval_accuracy": 0.7894736842105263,
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  "eval_loss": 0.8891889452934265,
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- "eval_samples_per_second": 20.469,
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- "eval_steps_per_second": 2.616,
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  "step": 390
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  },
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  {
@@ -403,9 +403,9 @@
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  "epoch": 4.0,
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  "eval_accuracy": 0.8045112781954887,
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  "step": 520
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  {
@@ -503,9 +503,9 @@
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  "epoch": 5.0,
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  {
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  "step": 650,
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  "total_flos": 4.0477911662555136e+17,
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  "train_loss": 0.9380592258159931,
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- "train_samples_per_second": 16.898,
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- "train_steps_per_second": 2.125
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  }
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  ],
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  "logging_steps": 10,
 
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  "epoch": 1.0,
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  "eval_accuracy": 0.6240601503759399,
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  "eval_loss": 1.0291587114334106,
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  "step": 130
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  {
 
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  "epoch": 2.0,
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  "eval_accuracy": 0.7443609022556391,
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  "eval_loss": 0.9589495062828064,
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  "step": 260
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  {
 
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  "epoch": 3.0,
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  "eval_accuracy": 0.7894736842105263,
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  "step": 390
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  {
 
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  "epoch": 4.0,
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  "eval_accuracy": 0.8045112781954887,
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  "step": 520
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  {
 
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  "epoch": 5.0,
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  "eval_accuracy": 0.8045112781954887,
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  "step": 650
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  {
 
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  "step": 650,
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  "total_flos": 4.0477911662555136e+17,
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  "train_loss": 0.9380592258159931,
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  }
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  ],
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  "logging_steps": 10,