ppicazo commited on
Commit
1eb1948
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1 Parent(s): bb6ab74

End of training

Browse files
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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  datasets:
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  - imagefolder
@@ -22,7 +24,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9526822558459422
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
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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 imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3896
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- - Accuracy: 0.9527
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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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  datasets:
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  - imagefolder
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9515818431911967
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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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 imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1827
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+ - Accuracy: 0.9516
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  ## Model description
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all_results.json CHANGED
@@ -1,12 +1,12 @@
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  {
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  "epoch": 150.0,
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- "eval_accuracy": 0.9642684693384839,
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- "eval_loss": 0.1337985098361969,
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- "eval_runtime": 4.8461,
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- "eval_samples_per_second": 427.351,
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- "eval_steps_per_second": 53.445,
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- "train_loss": 0.04562526514384151,
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- "train_runtime": 12080.4717,
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- "train_samples_per_second": 145.648,
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- "train_steps_per_second": 18.215
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  }
 
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  {
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  "epoch": 150.0,
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+ "eval_accuracy": 0.9515818431911967,
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+ "eval_loss": 0.18269842863082886,
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+ "eval_runtime": 8.2592,
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+ "eval_samples_per_second": 440.114,
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+ "eval_steps_per_second": 55.09,
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+ "train_loss": 0.08211426009329709,
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+ "train_runtime": 20002.7488,
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+ "train_samples_per_second": 154.464,
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+ "train_steps_per_second": 19.31
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  }
eval_results.json CHANGED
@@ -1,8 +1,8 @@
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  {
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  "epoch": 150.0,
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- "eval_accuracy": 0.9642684693384839,
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- "eval_loss": 0.1337985098361969,
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- "eval_runtime": 4.8461,
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- "eval_samples_per_second": 427.351,
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- "eval_steps_per_second": 53.445
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  }
 
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  {
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  "epoch": 150.0,
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+ "eval_accuracy": 0.9515818431911967,
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+ "eval_loss": 0.18269842863082886,
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+ "eval_runtime": 8.2592,
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+ "eval_samples_per_second": 440.114,
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+ "eval_steps_per_second": 55.09
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  }
train_results.json CHANGED
@@ -1,7 +1,7 @@
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  {
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  "epoch": 150.0,
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- "train_loss": 0.04562526514384151,
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- "train_runtime": 12080.4717,
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- "train_samples_per_second": 145.648,
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- "train_steps_per_second": 18.215
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  }
 
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  {
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  "epoch": 150.0,
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+ "train_loss": 0.08211426009329709,
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+ "train_runtime": 20002.7488,
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+ "train_samples_per_second": 154.464,
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+ "train_steps_per_second": 19.31
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  }
trainer_state.json CHANGED
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