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Pamreth
/
vit-ena24

Image Classification
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Files changed (5) hide show
  1. README.md +5 -5
  2. all_results.json +4 -4
  3. eval_results.json +4 -4
  4. runs/Apr14_18-10-43_f3935f1f5266/events.out.tfevents.1744655147.f3935f1f5266.1199.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -18,11 +18,11 @@ 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: 0.0047
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  - eval_accuracy: 0.0473
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- - eval_runtime: 917.1232
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- - eval_samples_per_second: 1.428
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- - eval_steps_per_second: 0.179
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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: 2
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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: 3.0866
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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
 
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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
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": 0.0047,
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- "eval_runtime": 917.1232,
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- "eval_samples_per_second": 1.428,
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- "eval_steps_per_second": 0.179
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  }
 
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  {
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  "eval_accuracy": 0.04732824427480916,
3
  "eval_loss": 3.08662486076355,
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+ "eval_model_preparation_time": 0.004,
5
+ "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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  }
eval_results.json CHANGED
@@ -1,8 +1,8 @@
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  {
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  "eval_accuracy": 0.04732824427480916,
3
  "eval_loss": 3.08662486076355,
4
- "eval_model_preparation_time": 0.0047,
5
- "eval_runtime": 917.1232,
6
- "eval_samples_per_second": 1.428,
7
- "eval_steps_per_second": 0.179
8
  }
 
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  {
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  "eval_accuracy": 0.04732824427480916,
3
  "eval_loss": 3.08662486076355,
4
+ "eval_model_preparation_time": 0.004,
5
+ "eval_runtime": 874.028,
6
+ "eval_samples_per_second": 1.499,
7
+ "eval_steps_per_second": 0.188
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  }
runs/Apr14_18-10-43_f3935f1f5266/events.out.tfevents.1744655147.f3935f1f5266.1199.1 ADDED
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