cheers again
Browse files- README.md +4 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +1686 -0
README.md
CHANGED
@@ -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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# test-hasy-5
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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
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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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# test-hasy-5
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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 HASY dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.6861
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+
- Accuracy: 0.8067
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## Model description
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all_results.json
ADDED
@@ -0,0 +1,13 @@
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{
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"epoch": 100.0,
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"eval_accuracy": 0.8066528066528067,
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"eval_loss": 0.6860660910606384,
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"eval_runtime": 2.0046,
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+
"eval_samples_per_second": 239.949,
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"eval_steps_per_second": 30.43,
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"total_flos": 3.355193271048192e+19,
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"train_loss": 1.2517024893769495,
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"train_runtime": 5380.7558,
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+
"train_samples_per_second": 80.379,
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"train_steps_per_second": 10.054
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}
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eval_results.json
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{
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"epoch": 100.0,
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"eval_accuracy": 0.8066528066528067,
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+
"eval_loss": 0.6860660910606384,
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"eval_runtime": 2.0046,
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"eval_samples_per_second": 239.949,
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"eval_steps_per_second": 30.43
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}
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train_results.json
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{
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"epoch": 100.0,
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"total_flos": 3.355193271048192e+19,
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"train_loss": 1.2517024893769495,
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"train_runtime": 5380.7558,
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"train_samples_per_second": 80.379,
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"train_steps_per_second": 10.054
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}
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trainer_state.json
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