Commit
•
2b2e4a5
1
Parent(s):
3f9f18d
End of training
Browse files- README.md +8 -6
- all_results.json +15 -0
- eval_results.json +11 -0
- train_results.json +7 -0
- trainer_state.json +948 -0
README.md
CHANGED
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@@ -2,6 +2,8 @@
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license: apache-2.0
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base_model: google/vit-large-patch16-224
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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 +20,13 @@ should probably proofread and complete it, then remove this comment. -->
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# vit-large-patch16-224-finetuned-galaxy10-decals
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-
This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) 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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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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license: apache-2.0
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base_model: google/vit-large-patch16-224
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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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metrics:
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- accuracy
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# vit-large-patch16-224-finetuned-galaxy10-decals
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+
This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the matthieulel/galaxy10_decals dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6404
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- Accuracy: 0.8551
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- Precision: 0.8525
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- Recall: 0.8551
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- F1: 0.8526
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## Model description
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all_results.json
ADDED
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@@ -0,0 +1,15 @@
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{
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"epoch": 29.76,
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"eval_accuracy": 0.855129650507328,
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"eval_f1": 0.8525596225280389,
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"eval_loss": 0.6403793692588806,
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"eval_precision": 0.8525018926508404,
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"eval_recall": 0.855129650507328,
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"eval_runtime": 17.3129,
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"eval_samples_per_second": 102.467,
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"eval_steps_per_second": 0.809,
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"train_loss": 0.3639387649874533,
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"train_runtime": 9909.908,
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"train_samples_per_second": 48.321,
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"train_steps_per_second": 0.094
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}
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eval_results.json
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{
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"epoch": 29.76,
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"eval_accuracy": 0.855129650507328,
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"eval_f1": 0.8525596225280389,
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"eval_loss": 0.6403793692588806,
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"eval_precision": 0.8525018926508404,
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"eval_recall": 0.855129650507328,
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"eval_runtime": 17.3129,
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"eval_samples_per_second": 102.467,
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"eval_steps_per_second": 0.809
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}
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train_results.json
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{
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"epoch": 29.76,
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"train_loss": 0.3639387649874533,
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"train_runtime": 9909.908,
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"train_samples_per_second": 48.321,
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"train_steps_per_second": 0.094
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}
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trainer_state.json
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