馃嵒 cheers
Browse files- README.md +3 -2
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Mar14_11-15-01_74ea26e313a5/events.out.tfevents.1741951269.74ea26e313a5.1507.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +544 -0
README.md
CHANGED
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@@ -3,6 +3,7 @@ library_name: transformers
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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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@@ -16,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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# vit-cropped-faces
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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: 0.
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- Accuracy: 1.0
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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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# vit-cropped-faces
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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 emigomez/vit-cropped-faces dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.0109
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- Accuracy: 1.0
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## Model description
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all_results.json
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{
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"epoch": 20.0,
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"eval_accuracy": 1.0,
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"eval_loss": 0.010909353382885456,
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"eval_runtime": 1.6904,
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"eval_samples_per_second": 33.127,
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"eval_steps_per_second": 4.141,
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"total_flos": 7.764766951908557e+17,
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"train_loss": 0.024429786371183582,
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"train_runtime": 337.6815,
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+
"train_samples_per_second": 29.673,
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"train_steps_per_second": 1.895
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}
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eval_results.json
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{
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"epoch": 20.0,
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"eval_accuracy": 1.0,
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"eval_loss": 0.010909353382885456,
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"eval_runtime": 1.6904,
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"eval_samples_per_second": 33.127,
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"eval_steps_per_second": 4.141
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}
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runs/Mar14_11-15-01_74ea26e313a5/events.out.tfevents.1741951269.74ea26e313a5.1507.2
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:43e43cdafb3745963c91b589c978aba2b41f88ecc3a0609f64e4e846f2cbdafb
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+
size 411
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train_results.json
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{
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"epoch": 20.0,
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"total_flos": 7.764766951908557e+17,
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"train_loss": 0.024429786371183582,
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"train_runtime": 337.6815,
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"train_samples_per_second": 29.673,
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"train_steps_per_second": 1.895
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}
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trainer_state.json
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{
|
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+
"best_metric": 0.010909353382885456,
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| 3 |
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"best_model_checkpoint": "emigomez/vit-cropped-faces/checkpoint-200",
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| 4 |
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"epoch": 20.0,
|
| 5 |
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"eval_steps": 100,
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| 6 |
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"global_step": 640,
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| 7 |
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.3125,
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"grad_norm": 1.6401095390319824,
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"learning_rate": 0.000196875,
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"loss": 0.692,
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"step": 10
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},
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{
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"epoch": 0.625,
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"grad_norm": 1.1231616735458374,
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"learning_rate": 0.00019375000000000002,
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"loss": 0.2743,
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"step": 20
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},
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{
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"epoch": 0.9375,
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"grad_norm": 0.7256351709365845,
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"learning_rate": 0.000190625,
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"loss": 0.0795,
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"step": 30
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},
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{
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"epoch": 1.25,
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"grad_norm": 0.17406541109085083,
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"learning_rate": 0.0001875,
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"loss": 0.0414,
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"step": 40
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},
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{
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"epoch": 1.5625,
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"grad_norm": 6.439935684204102,
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"learning_rate": 0.000184375,
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"loss": 0.0465,
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"step": 50
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},
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{
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"epoch": 1.875,
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"grad_norm": 2.296980857849121,
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"learning_rate": 0.00018125000000000001,
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"loss": 0.0526,
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"step": 60
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| 52 |
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},
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{
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"epoch": 2.1875,
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"grad_norm": 0.09786612540483475,
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"learning_rate": 0.000178125,
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"loss": 0.0372,
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"step": 70
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| 59 |
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