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: matthieulel/dinov2-base-imagenet1k-1-layer-finetuned-galaxy10-decals
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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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# dinov2-base-imagenet1k-1-layer-finetuned-galaxy10-decals-finetuned-galaxy_mnist
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-
This model is a fine-tuned version of [matthieulel/dinov2-base-imagenet1k-1-layer-finetuned-galaxy10-decals](https://huggingface.co/matthieulel/dinov2-base-imagenet1k-1-layer-finetuned-galaxy10-decals) 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: matthieulel/dinov2-base-imagenet1k-1-layer-finetuned-galaxy10-decals
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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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# dinov2-base-imagenet1k-1-layer-finetuned-galaxy10-decals-finetuned-galaxy_mnist
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+
This model is a fine-tuned version of [matthieulel/dinov2-base-imagenet1k-1-layer-finetuned-galaxy10-decals](https://huggingface.co/matthieulel/dinov2-base-imagenet1k-1-layer-finetuned-galaxy10-decals) on the matthieulel/galaxy_mnist dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.1834
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+
- Accuracy: 0.943
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- Precision: 0.9430
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- Recall: 0.943
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- F1: 0.9430
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## Model description
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all_results.json
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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": 0.943,
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"eval_f1": 0.9429937041520492,
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"eval_loss": 0.1833750605583191,
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"eval_precision": 0.9430181576590594,
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"eval_recall": 0.943,
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"eval_runtime": 16.8867,
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"eval_samples_per_second": 118.436,
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"eval_steps_per_second": 1.895,
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"train_loss": 0.20007605360400293,
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"train_runtime": 4421.4809,
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"train_samples_per_second": 54.28,
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"train_steps_per_second": 0.21
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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": 0.943,
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"eval_f1": 0.9429937041520492,
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"eval_loss": 0.1833750605583191,
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"eval_precision": 0.9430181576590594,
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"eval_recall": 0.943,
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"eval_runtime": 16.8867,
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"eval_samples_per_second": 118.436,
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"eval_steps_per_second": 1.895
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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": 0.20007605360400293,
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"train_runtime": 4421.4809,
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"train_samples_per_second": 54.28,
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"train_steps_per_second": 0.21
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}
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trainer_state.json
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