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1 Parent(s): de4472d

End of training

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README.md CHANGED
@@ -2,6 +2,8 @@
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  license: apache-2.0
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  base_model: google/vit-base-patch16-224-in21k
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  tags:
 
 
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  - generated_from_trainer
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  metrics:
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  - accuracy
@@ -15,10 +17,10 @@ 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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- - Accuracy: 0.8647
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  - Loss: 0.8840
 
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  ## Model description
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  license: apache-2.0
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  base_model: google/vit-base-patch16-224-in21k
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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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  metrics:
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  - accuracy
 
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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: 0.8840
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+ - Accuracy: 0.8647
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  ## Model description
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all_results.json CHANGED
@@ -2,12 +2,12 @@
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  "epoch": 1.0,
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  "eval_accuracy": 0.8646616541353384,
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  "eval_loss": 0.8840129971504211,
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- "eval_runtime": 7.2656,
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- "eval_samples_per_second": 18.305,
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- "eval_steps_per_second": 0.413,
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  "total_flos": 8.012743541191066e+16,
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  "train_loss": 0.0,
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- "train_runtime": 0.2227,
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- "train_samples_per_second": 4643.114,
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- "train_steps_per_second": 76.337
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  }
 
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  "epoch": 1.0,
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  "eval_accuracy": 0.8646616541353384,
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  "eval_loss": 0.8840129971504211,
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+ "eval_runtime": 7.9897,
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+ "eval_samples_per_second": 16.646,
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+ "eval_steps_per_second": 0.375,
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  "total_flos": 8.012743541191066e+16,
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  "train_loss": 0.0,
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+ "train_runtime": 0.2174,
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+ "train_samples_per_second": 4756.041,
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+ "train_steps_per_second": 78.194
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  }
config.json CHANGED
@@ -28,6 +28,7 @@
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  "num_channels": 3,
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  "num_hidden_layers": 12,
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  "patch_size": 16,
 
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  "qkv_bias": true,
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  "torch_dtype": "float32",
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  "transformers_version": "4.43.0.dev0"
 
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  "num_channels": 3,
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  "num_hidden_layers": 12,
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  "patch_size": 16,
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+ "problem_type": "single_label_classification",
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  "qkv_bias": true,
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  "torch_dtype": "float32",
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  "transformers_version": "4.43.0.dev0"
eval_results.json CHANGED
@@ -2,7 +2,7 @@
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  "epoch": 1.0,
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  "eval_accuracy": 0.8646616541353384,
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  "eval_loss": 0.8840129971504211,
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- "eval_runtime": 7.2656,
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- "eval_samples_per_second": 18.305,
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- "eval_steps_per_second": 0.413
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  }
 
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  "epoch": 1.0,
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  "eval_accuracy": 0.8646616541353384,
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  "eval_loss": 0.8840129971504211,
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+ "eval_runtime": 7.9897,
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+ "eval_samples_per_second": 16.646,
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+ "eval_steps_per_second": 0.375
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  }
train_results.json CHANGED
@@ -2,7 +2,7 @@
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  "epoch": 1.0,
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  "total_flos": 8.012743541191066e+16,
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  "train_loss": 0.0,
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- "train_runtime": 0.2227,
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- "train_samples_per_second": 4643.114,
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- "train_steps_per_second": 76.337
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  }
 
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  "epoch": 1.0,
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  "total_flos": 8.012743541191066e+16,
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  "train_loss": 0.0,
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+ "train_runtime": 0.2174,
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+ "train_samples_per_second": 4756.041,
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+ "train_steps_per_second": 78.194
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  }
trainer_state.json CHANGED
@@ -29,9 +29,9 @@
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  "step": 17,
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  "total_flos": 8.012743541191066e+16,
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  "train_loss": 0.0,
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- "train_runtime": 0.2227,
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- "train_samples_per_second": 4643.114,
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- "train_steps_per_second": 76.337
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  }
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  ],
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  "logging_steps": 10,
 
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  "step": 17,
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  "total_flos": 8.012743541191066e+16,
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  "train_loss": 0.0,
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+ "train_runtime": 0.2174,
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+ "train_samples_per_second": 4756.041,
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+ "train_steps_per_second": 78.194
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  }
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  ],
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  "logging_steps": 10,