End of training
Browse files- README.md +21 -1
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +722 -0
README.md
CHANGED
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@@ -3,12 +3,29 @@ library_name: transformers
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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
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model-index:
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- name: vit-base-anime-e100
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-
results:
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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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@@ -17,6 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
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# vit-base-anime-e100
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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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## 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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- accuracy
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model-index:
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- name: vit-base-anime-e100
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results:
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+
- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: train
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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+
value: 0.9804063860667634
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---
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| 30 |
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| 31 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# vit-base-anime-e100
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| 35 |
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| 36 |
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: 0.0757
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- Accuracy: 0.9804
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## Model description
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all_results.json
ADDED
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@@ -0,0 +1,13 @@
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{
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"epoch": 1.0,
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"eval_accuracy": 0.9804063860667634,
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"eval_loss": 0.07571936398744583,
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"eval_runtime": 57.28,
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"eval_samples_per_second": 24.057,
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"eval_steps_per_second": 3.02,
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"total_flos": 6.049024709315052e+17,
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"train_loss": 0.1105953664289879,
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"train_runtime": 396.2703,
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"train_samples_per_second": 19.699,
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"train_steps_per_second": 2.463
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_accuracy": 0.9804063860667634,
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"eval_loss": 0.07571936398744583,
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"eval_runtime": 57.28,
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"eval_samples_per_second": 24.057,
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"eval_steps_per_second": 3.02
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}
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train_results.json
ADDED
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{
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"epoch": 1.0,
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"total_flos": 6.049024709315052e+17,
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"train_loss": 0.1105953664289879,
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"train_runtime": 396.2703,
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"train_samples_per_second": 19.699,
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"train_steps_per_second": 2.463
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}
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trainer_state.json
ADDED
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+
}
|