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Pamreth
/
vit-ena24

Image Classification
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vit
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Files changed (6) hide show
  1. README.md +7 -7
  2. all_results.json +6 -6
  3. eval_results.json +6 -6
  4. model.safetensors +1 -1
  5. runs/Apr14_21-43-32_c9916c2d666c/events.out.tfevents.1744667081.c9916c2d666c.739.0 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -17,12 +17,12 @@ 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 beans dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 3.0866
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- - eval_model_preparation_time: 0.004
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- - eval_accuracy: 0.0473
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- - eval_runtime: 874.028
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- - eval_samples_per_second: 1.499
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- - eval_steps_per_second: 0.188
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  - step: 0
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  ## Model description
@@ -48,7 +48,7 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  ### Framework versions
 
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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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+ - eval_loss: 3.1070
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+ - eval_model_preparation_time: 0.0029
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+ - eval_accuracy: 0.0336
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+ - eval_runtime: 66.2416
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+ - eval_samples_per_second: 19.776
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+ - eval_steps_per_second: 2.476
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  - step: 0
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  ## Model description
 
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 2
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  - mixed_precision_training: Native AMP
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  ### Framework versions
all_results.json CHANGED
@@ -1,8 +1,8 @@
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  {
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- "eval_accuracy": 0.04732824427480916,
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- "eval_loss": 3.08662486076355,
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- "eval_model_preparation_time": 0.004,
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- "eval_runtime": 874.028,
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- "eval_samples_per_second": 1.499,
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- "eval_steps_per_second": 0.188
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  }
 
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  {
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+ "eval_accuracy": 0.03358778625954199,
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+ "eval_model_preparation_time": 0.0029,
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+ "eval_runtime": 66.2416,
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+ "eval_samples_per_second": 19.776,
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+ "eval_steps_per_second": 2.476
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  }
eval_results.json CHANGED
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- "eval_loss": 3.08662486076355,
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- "eval_runtime": 874.028,
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- "eval_samples_per_second": 1.499,
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- "eval_steps_per_second": 0.188
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  }
 
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+ "eval_loss": 3.107008934020996,
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+ "eval_model_preparation_time": 0.0029,
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+ "eval_runtime": 66.2416,
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+ "eval_samples_per_second": 19.776,
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+ "eval_steps_per_second": 2.476
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  }
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