Commit
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Parent(s):
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🍻 cheers
Browse files- README.md +2 -1
- all_results.json +9 -9
- eval_results.json +5 -5
- runs/Dec06_09-04-48_LAPTOP-PH299HA6/events.out.tfevents.1701830642.LAPTOP-PH299HA6.4024.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +51 -909
README.md
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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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# food-recognition
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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: 3.4249
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- Accuracy: 0.5
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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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# food-recognition
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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 food-recognition dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4249
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- Accuracy: 0.5
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runs/Dec06_09-04-48_LAPTOP-PH299HA6/events.out.tfevents.1701830642.LAPTOP-PH299HA6.4024.1
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|
| 86 |
{
|
| 87 |
"epoch": 3.75,
|
| 88 |
"learning_rate": 1.25e-05,
|
| 89 |
+
"loss": 0.0804,
|
| 90 |
+
"step": 120
|
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|
| 91 |
},
|
| 92 |
{
|
| 93 |
"epoch": 4.0,
|
| 94 |
+
"step": 128,
|
| 95 |
+
"total_flos": 1.551214973952e+17,
|
| 96 |
+
"train_loss": 0.5848965970799327,
|
| 97 |
+
"train_runtime": 1816.5789,
|
| 98 |
+
"train_samples_per_second": 1.101,
|
| 99 |
+
"train_steps_per_second": 0.07
|
| 100 |
}
|
| 101 |
],
|
| 102 |
"logging_steps": 10,
|
| 103 |
+
"max_steps": 128,
|
| 104 |
"num_train_epochs": 4,
|
| 105 |
"save_steps": 100,
|
| 106 |
+
"total_flos": 1.551214973952e+17,
|
| 107 |
"trial_name": null,
|
| 108 |
"trial_params": null
|
| 109 |
}
|