🍻 cheers
Browse files- README.md +8 -5
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +3370 -0
README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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name: Image Classification
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type: image-classification
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dataset:
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name:
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type: imagefolder
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config: default
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split: train
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metrics:
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- name: Accuracy
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type: accuracy
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-
value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# vit_epochs5_batch32_lr5e-05_size224_tiles6_seed123_q2_complexity
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This model
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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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---
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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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datasets:
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- imagefolder
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name: Image Classification
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type: image-classification
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dataset:
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name: Dogs_vs_Cats
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type: imagefolder
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config: default
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split: train
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9733333333333334
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# vit_epochs5_batch32_lr5e-05_size224_tiles6_seed123_q2_complexity
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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 Dogs_vs_Cats dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1249
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- Accuracy: 0.9733
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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": 0.9733333333333334,
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"eval_loss": 0.12487462908029556,
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"eval_runtime": 18.0903,
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"eval_samples_per_second": 207.293,
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"eval_steps_per_second": 6.523,
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"total_flos": 5.8118992210944e+18,
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"train_loss": 0.009315362559340552,
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"train_runtime": 812.1257,
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"train_samples_per_second": 92.35,
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"train_steps_per_second": 2.887
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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": 0.9733333333333334,
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"eval_loss": 0.12487462908029556,
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"eval_runtime": 18.0903,
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"eval_samples_per_second": 207.293,
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"eval_steps_per_second": 6.523
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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": 5.8118992210944e+18,
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"train_loss": 0.009315362559340552,
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"train_runtime": 812.1257,
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"train_samples_per_second": 92.35,
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"train_steps_per_second": 2.887
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}
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trainer_state.json
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| 1 |
+
{
|
| 2 |
+
"best_metric": 0.12487462908029556,
|
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