Commit
•
ae16f21
1
Parent(s):
acce1f1
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-patch32-384
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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-patch32-384-finetuned-galaxy10-decals
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-
This model is a fine-tuned version of [google/vit-large-patch32-384](https://huggingface.co/google/vit-large-patch32-384) 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-patch32-384
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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-patch32-384-finetuned-galaxy10-decals
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+
This model is a fine-tuned version of [google/vit-large-patch32-384](https://huggingface.co/google/vit-large-patch32-384) on the matthieulel/galaxy10_decals dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6766
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- Accuracy: 0.8371
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- Precision: 0.8374
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- Recall: 0.8371
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- F1: 0.8357
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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": 0.8370913190529876,
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"eval_f1": 0.8357334072148467,
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"eval_loss": 0.6766165494918823,
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"eval_precision": 0.8373589976039267,
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"eval_recall": 0.8370913190529876,
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"eval_runtime": 21.6445,
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"eval_samples_per_second": 81.961,
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"eval_steps_per_second": 0.647,
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"train_loss": 0.3928444991829575,
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"train_runtime": 10565.0301,
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"train_samples_per_second": 45.325,
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"train_steps_per_second": 0.088
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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": 0.8370913190529876,
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"eval_f1": 0.8357334072148467,
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"eval_loss": 0.6766165494918823,
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"eval_precision": 0.8373589976039267,
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"eval_recall": 0.8370913190529876,
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"eval_runtime": 21.6445,
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"eval_samples_per_second": 81.961,
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"eval_steps_per_second": 0.647
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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": 0.3928444991829575,
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"train_runtime": 10565.0301,
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"train_samples_per_second": 45.325,
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"train_steps_per_second": 0.088
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}
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trainer_state.json
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