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slokesha
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vit-base-patch16-224-in21k

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slokesha commited on
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End of training

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Files changed (5) hide show
  1. README.md +4 -4
  2. all_results.json +4 -4
  3. eval_results.json +4 -4
  4. runs/Oct28_19-27-43_800672-4/events.out.tfevents.1730144035.800672-4.1324.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -19,11 +19,11 @@ 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 chainyo/rvl-cdip dataset.
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  It achieves the following results on the evaluation set:
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  - eval_loss: 2.7757
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- - eval_model_preparation_time: 0.0126
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  - eval_accuracy: 0.0567
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- - eval_runtime: 355.2768
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- - eval_samples_per_second: 135.106
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- - eval_steps_per_second: 2.111
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  - memory_allocated (GB): 0.79
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  - max_memory_allocated (GB): 0.87
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  - total_memory_available (GB): 94.62
 
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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 chainyo/rvl-cdip dataset.
20
  It achieves the following results on the evaluation set:
21
  - eval_loss: 2.7757
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+ - eval_model_preparation_time: 0.0119
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  - eval_accuracy: 0.0567
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+ - eval_runtime: 362.8091
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+ - eval_samples_per_second: 132.301
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+ - eval_steps_per_second: 2.067
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  - memory_allocated (GB): 0.79
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  - max_memory_allocated (GB): 0.87
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  - total_memory_available (GB): 94.62
all_results.json CHANGED
@@ -1,10 +1,10 @@
1
  {
2
  "eval_accuracy": 0.056729166666666664,
3
  "eval_loss": 2.775696277618408,
4
- "eval_model_preparation_time": 0.0126,
5
- "eval_runtime": 355.2768,
6
- "eval_samples_per_second": 135.106,
7
- "eval_steps_per_second": 2.111,
8
  "max_memory_allocated (GB)": 0.87,
9
  "memory_allocated (GB)": 0.79,
10
  "total_memory_available (GB)": 94.62
 
1
  {
2
  "eval_accuracy": 0.056729166666666664,
3
  "eval_loss": 2.775696277618408,
4
+ "eval_model_preparation_time": 0.0119,
5
+ "eval_runtime": 362.8091,
6
+ "eval_samples_per_second": 132.301,
7
+ "eval_steps_per_second": 2.067,
8
  "max_memory_allocated (GB)": 0.87,
9
  "memory_allocated (GB)": 0.79,
10
  "total_memory_available (GB)": 94.62
eval_results.json CHANGED
@@ -1,10 +1,10 @@
1
  {
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  "eval_accuracy": 0.056729166666666664,
3
  "eval_loss": 2.775696277618408,
4
- "eval_model_preparation_time": 0.0126,
5
- "eval_runtime": 355.2768,
6
- "eval_samples_per_second": 135.106,
7
- "eval_steps_per_second": 2.111,
8
  "max_memory_allocated (GB)": 0.87,
9
  "memory_allocated (GB)": 0.79,
10
  "total_memory_available (GB)": 94.62
 
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  {
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  "eval_accuracy": 0.056729166666666664,
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  "eval_loss": 2.775696277618408,
4
+ "eval_model_preparation_time": 0.0119,
5
+ "eval_runtime": 362.8091,
6
+ "eval_samples_per_second": 132.301,
7
+ "eval_steps_per_second": 2.067,
8
  "max_memory_allocated (GB)": 0.87,
9
  "memory_allocated (GB)": 0.79,
10
  "total_memory_available (GB)": 94.62
runs/Oct28_19-27-43_800672-4/events.out.tfevents.1730144035.800672-4.1324.0 ADDED
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