Uploaded Model
Browse files- README.md +7 -6
- all_results.json +16 -0
- eval_results.json +11 -0
- runs/Dec05_17-55-29_c16f2c6ab729/events.out.tfevents.1701800820.c16f2c6ab729.278.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1474 -0
README.md
CHANGED
@@ -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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metrics:
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- accuracy
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@@ -18,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
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# vit-base-16-thesis-demo-HAM10000
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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
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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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- Recall: 0.
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- F1: 0.
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- Precision: 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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metrics:
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- accuracy
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# vit-base-16-thesis-demo-HAM10000
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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 ahishamm/HAM_db_enhanced_balanced_reduced_50_20_20_50 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5296
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- Accuracy: 0.8344
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- Recall: 0.8344
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- F1: 0.8344
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- Precision: 0.8344
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## Model description
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all_results.json
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{
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"epoch": 4.0,
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"eval_accuracy": 0.8344459279038718,
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"eval_f1": 0.834445927903872,
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"eval_loss": 0.5296002626419067,
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"eval_precision": 0.8344459279038718,
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"eval_recall": 0.8344459279038718,
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"eval_runtime": 24.1277,
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"eval_samples_per_second": 62.086,
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"eval_steps_per_second": 7.792,
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"total_flos": 2.1525139607212524e+18,
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"train_loss": 0.438499038875927,
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"train_runtime": 1854.8343,
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"train_samples_per_second": 14.975,
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"train_steps_per_second": 0.936
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}
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eval_results.json
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{
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"epoch": 4.0,
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"eval_accuracy": 0.8344459279038718,
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"eval_f1": 0.834445927903872,
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"eval_loss": 0.5296002626419067,
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"eval_precision": 0.8344459279038718,
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"eval_recall": 0.8344459279038718,
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"eval_runtime": 24.1277,
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"eval_samples_per_second": 62.086,
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"eval_steps_per_second": 7.792
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}
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runs/Dec05_17-55-29_c16f2c6ab729/events.out.tfevents.1701800820.c16f2c6ab729.278.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:2ed6bb587d82263fde01f62ea92feadebb57f08dea67f250143cfe2bea057a4c
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size 560
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train_results.json
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{
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"epoch": 4.0,
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"total_flos": 2.1525139607212524e+18,
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"train_loss": 0.438499038875927,
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"train_runtime": 1854.8343,
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"train_samples_per_second": 14.975,
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"train_steps_per_second": 0.936
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}
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trainer_state.json
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