🍻 cheers
Browse files- README.md +5 -2
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/May24_15-27-09_a15a230f540e/events.out.tfevents.1716567389.a15a230f540e.2637.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1732 -0
README.md
CHANGED
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@@ -1,5 +1,8 @@
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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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@@ -28,7 +31,7 @@ should probably proofread and complete it, then remove this comment. -->
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# vit_epochs5_batch64_lr0.001_size224_tiles1_seed1_vit_old_transform_old_hp
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-
This model
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It achieves the following results on the evaluation set:
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- Loss: 0.5220
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- Accuracy: 0.7539
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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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# vit_epochs5_batch64_lr0.001_size224_tiles1_seed1_vit_old_transform_old_hp
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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: 0.5220
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- Accuracy: 0.7539
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all_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.7538666666666667,
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"eval_loss": 0.5220404863357544,
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"eval_runtime": 53.1687,
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"eval_samples_per_second": 70.53,
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"eval_steps_per_second": 1.11,
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"total_flos": 5.8118992210944e+18,
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"train_loss": 0.5645027552259729,
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"train_runtime": 2886.1261,
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"train_samples_per_second": 25.986,
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"train_steps_per_second": 0.407
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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": 0.7538666666666667,
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"eval_loss": 0.5220404863357544,
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"eval_runtime": 53.1687,
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"eval_samples_per_second": 70.53,
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"eval_steps_per_second": 1.11
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}
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runs/May24_15-27-09_a15a230f540e/events.out.tfevents.1716567389.a15a230f540e.2637.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0874aec3c337a6286fc83cc31e8127d1f869e3eb633b8a42ddc571003217660
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size 411
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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": 0.5645027552259729,
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"train_runtime": 2886.1261,
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"train_samples_per_second": 25.986,
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"train_steps_per_second": 0.407
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}
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trainer_state.json
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