cheers again
Browse files- README.md +4 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Jan24_01-20-21_579caf070ae1/events.out.tfevents.1706059435.579caf070ae1.3225.8 +3 -0
- test_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +472 -0
README.md
CHANGED
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@@ -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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@@ -15,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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# vit-base-beans-tutorial
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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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## 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-beans-tutorial
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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 beans dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.2592
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- Accuracy: 0.9531
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## Model description
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all_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.953125,
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"eval_loss": 0.2592126727104187,
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"eval_runtime": 1.9731,
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+
"eval_samples_per_second": 64.873,
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"eval_steps_per_second": 8.109,
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"total_flos": 4.006371770595533e+17,
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"train_loss": 0.000326924599134005,
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"train_runtime": 192.0253,
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"train_samples_per_second": 26.924,
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"train_steps_per_second": 3.385
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}
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eval_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.9924812030075187,
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"eval_loss": 0.021117208525538445,
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"eval_runtime": 2.0833,
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"eval_samples_per_second": 63.842,
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"eval_steps_per_second": 8.16
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}
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runs/Jan24_01-20-21_579caf070ae1/events.out.tfevents.1706059435.579caf070ae1.3225.8
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version https://git-lfs.github.com/spec/v1
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oid sha256:51e3e199ee7c3875a8c5071cce2410f635a473486b87ff8cdbf420acfb37f363
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size 734
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test_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.953125,
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"eval_loss": 0.2592126727104187,
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+
"eval_runtime": 1.9731,
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"eval_samples_per_second": 64.873,
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"eval_steps_per_second": 8.109
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}
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train_results.json
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{
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"epoch": 5.0,
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"total_flos": 4.006371770595533e+17,
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"train_loss": 0.000326924599134005,
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"train_runtime": 192.0253,
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"train_samples_per_second": 26.924,
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"train_steps_per_second": 3.385
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}
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trainer_state.json
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{
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