Augusto777
commited on
Commit
•
b726223
1
Parent(s):
3d5547f
End of training
Browse files- README.md +3 -3
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/May23_07-59-52_DESKTOP-SKBE9FB/events.out.tfevents.1716475133.DESKTOP-SKBE9FB.17360.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +870 -0
README.md
CHANGED
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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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@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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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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metrics:
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- name: Accuracy
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type: accuracy
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+
value: 0.8666666666666667
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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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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.5495
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- Accuracy: 0.8667
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## Model description
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all_results.json
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{
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"epoch": 40.0,
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"eval_accuracy": 0.8666666666666667,
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"eval_loss": 0.5495395660400391,
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+
"eval_runtime": 1.1232,
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"eval_samples_per_second": 53.418,
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"eval_steps_per_second": 1.781,
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"train_loss": 0.1800640467181802,
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+
"train_runtime": 1621.1538,
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"train_samples_per_second": 62.671,
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"train_steps_per_second": 0.493
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}
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eval_results.json
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{
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"epoch": 40.0,
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"eval_accuracy": 0.8666666666666667,
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"eval_loss": 0.5495395660400391,
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+
"eval_runtime": 1.1232,
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"eval_samples_per_second": 53.418,
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"eval_steps_per_second": 1.781
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}
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runs/May23_07-59-52_DESKTOP-SKBE9FB/events.out.tfevents.1716475133.DESKTOP-SKBE9FB.17360.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:3ed67502d7fe64b141bb80b4dfaaa161266ee7c3bbec3a56cf18342ce6c69c82
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size 411
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train_results.json
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{
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"epoch": 40.0,
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"train_loss": 0.1800640467181802,
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+
"train_runtime": 1621.1538,
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"train_samples_per_second": 62.671,
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"train_steps_per_second": 0.493
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}
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trainer_state.json
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{
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"best_metric": 0.8666666666666667,
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"best_model_checkpoint": "vit-base-patch16-224-U8-40\\checkpoint-100",
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"epoch": 40.0,
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{
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"step": 20
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{
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"epoch": 1.0,
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"eval_accuracy": 0.45,
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"eval_runtime": 1.0907,
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"eval_samples_per_second": 55.012,
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"eval_steps_per_second": 1.834,
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"step": 20
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},
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{
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"epoch": 1.5,
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"learning_rate": 4.125e-05,
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"loss": 1.2727,
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"step": 30
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},
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{
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"epoch": 2.0,
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"learning_rate": 5.5e-05,
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"step": 40
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},
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{
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"epoch": 2.0,
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"eval_accuracy": 0.5666666666666667,
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"eval_loss": 1.10469388961792,
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"eval_runtime": 1.0087,
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"eval_samples_per_second": 59.483,
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"eval_steps_per_second": 1.983,
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"step": 40
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},
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{
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"epoch": 2.5,
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"learning_rate": 5.4276315789473686e-05,
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"loss": 1.0035,
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"step": 50
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{
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"epoch": 3.0,
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