🍻 cheers
Browse files- README.md +4 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Jun18_09-18-24_0d141cb2c9f1/events.out.tfevents.1718703110.0d141cb2c9f1.868.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1636 -0
README.md
CHANGED
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@@ -2,6 +2,7 @@
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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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metrics:
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- name: Accuracy
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type: accuracy
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-
value: 0.
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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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@@ -32,8 +33,8 @@ 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.
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-
- Accuracy: 0.
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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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- 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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| 26 |
+
value: 0.8633093525179856
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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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| 33 |
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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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| 35 |
It achieves the following results on the evaluation set:
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| 36 |
+
- Loss: 0.4613
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| 37 |
+
- Accuracy: 0.8633
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## Model description
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| 40 |
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all_results.json
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{
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"epoch": 13.0,
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+
"eval_accuracy": 0.8633093525179856,
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+
"eval_loss": 0.46125656366348267,
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| 5 |
+
"eval_runtime": 5.7185,
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| 6 |
+
"eval_samples_per_second": 48.614,
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| 7 |
+
"eval_steps_per_second": 6.121,
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| 8 |
+
"total_flos": 2.5134977377120666e+18,
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| 9 |
+
"train_loss": 0.20268641209277588,
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+
"train_runtime": 776.7577,
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| 11 |
+
"train_samples_per_second": 41.757,
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| 12 |
+
"train_steps_per_second": 2.611
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+
}
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eval_results.json
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{
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"epoch": 13.0,
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+
"eval_accuracy": 0.8633093525179856,
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+
"eval_loss": 0.46125656366348267,
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+
"eval_runtime": 5.7185,
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+
"eval_samples_per_second": 48.614,
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+
"eval_steps_per_second": 6.121
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+
}
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runs/Jun18_09-18-24_0d141cb2c9f1/events.out.tfevents.1718703110.0d141cb2c9f1.868.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:cc64f145536be32450b446e4658336ae4189d2de8cc0b42b1ac2ab8366eccccb
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+
size 411
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train_results.json
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{
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"epoch": 13.0,
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+
"total_flos": 2.5134977377120666e+18,
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+
"train_loss": 0.20268641209277588,
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+
"train_runtime": 776.7577,
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+
"train_samples_per_second": 41.757,
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+
"train_steps_per_second": 2.611
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+
}
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trainer_state.json
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