pushed
Browse files- README.md +5 -2
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Jun27_20-15-24_7e4d4ebc3019/events.out.tfevents.1719520863.7e4d4ebc3019.579.5 +3 -0
- train_results.json +8 -0
- trainer_state.json +3370 -0
README.md
CHANGED
@@ -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_batch32_lr5e-05_size224_tiles2_seed3_q3_DA
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-
This model
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It achieves the following results on the evaluation set:
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- Loss: 0.0265
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- Accuracy: 0.9915
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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_batch32_lr5e-05_size224_tiles2_seed3_q3_DA
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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: 0.0265
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- Accuracy: 0.9915
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all_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.9914666666666667,
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"eval_loss": 0.026531297713518143,
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"eval_runtime": 29.543,
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"eval_samples_per_second": 126.934,
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"eval_steps_per_second": 3.994,
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"total_flos": 5.8118992210944e+18,
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"train_loss": 0.08598557333511585,
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"train_runtime": 1480.9706,
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"train_samples_per_second": 50.642,
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"train_steps_per_second": 1.583
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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": 0.9914666666666667,
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"eval_loss": 0.026531297713518143,
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"eval_runtime": 29.543,
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"eval_samples_per_second": 126.934,
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"eval_steps_per_second": 3.994
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}
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runs/Jun27_20-15-24_7e4d4ebc3019/events.out.tfevents.1719520863.7e4d4ebc3019.579.5
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0cb503d3d06887b93de6243bd34813af3d6dd3e86c7502c1970a6046c9404ff
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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": 0.08598557333511585,
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"train_runtime": 1480.9706,
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"train_samples_per_second": 50.642,
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"train_steps_per_second": 1.583
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}
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trainer_state.json
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