End of training
Browse files- README.md +3 -1
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Nov01_14-17-54_ip-10-90-1-182/events.out.tfevents.1730470729.ip-10-90-1-182.135750.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +542 -0
README.md
CHANGED
@@ -3,6 +3,8 @@ library_name: transformers
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license: apache-2.0
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base_model: timm/resnet18.a1_in1k
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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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@@ -16,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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# vit-base-beans
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-
This model is a fine-tuned version of [timm/resnet18.a1_in1k](https://huggingface.co/timm/resnet18.a1_in1k) on
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It achieves the following results on the evaluation set:
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- Loss: 1.0332
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- Accuracy: 0.6767
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license: apache-2.0
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base_model: timm/resnet18.a1_in1k
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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-base-beans
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This model is a fine-tuned version of [timm/resnet18.a1_in1k](https://huggingface.co/timm/resnet18.a1_in1k) on the beans dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0332
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- Accuracy: 0.6767
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all_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.6766917293233082,
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"eval_steps_per_second": 21.893,
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"total_flos": 5.219455168198656e+16,
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"train_samples_per_second": 107.45,
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"train_steps_per_second": 13.509
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}
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eval_results.json
ADDED
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"eval_accuracy": 0.6766917293233082,
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"eval_loss": 1.0332472324371338,
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"eval_samples_per_second": 171.282,
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"eval_steps_per_second": 21.893
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}
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runs/Nov01_14-17-54_ip-10-90-1-182/events.out.tfevents.1730470729.ip-10-90-1-182.135750.1
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:50b16c23dac46e18e466fb437c5476c4f378ef8439191c134cc0618e1aeeae19
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size 411
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train_results.json
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trainer_state.json
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