BilalMuftuoglu
commited on
Commit
•
02ada26
1
Parent(s):
73204fe
End of training
Browse files- README.md +3 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/May15_18-55-25_ebe0fb66aa14/events.out.tfevents.1715801741.ebe0fb66aa14.6767.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1023 -0
README.md
CHANGED
@@ -22,7 +22,7 @@ model-index:
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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 [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-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: 0.8481012658227848
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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 [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-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: 0.7241
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- Accuracy: 0.8481
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## Model description
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all_results.json
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{
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"epoch": 85.71428571428571,
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+
"eval_accuracy": 0.8481012658227848,
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+
"eval_loss": 0.7241003513336182,
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+
"eval_runtime": 1.4361,
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"eval_samples_per_second": 55.011,
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"eval_steps_per_second": 2.089,
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"total_flos": 2.9349165326823014e+18,
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"train_loss": 0.2789517060915629,
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+
"train_runtime": 2373.8808,
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+
"train_samples_per_second": 18.619,
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"train_steps_per_second": 0.126
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}
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eval_results.json
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{
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"epoch": 85.71428571428571,
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"eval_accuracy": 0.8481012658227848,
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+
"eval_loss": 0.7241003513336182,
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"eval_runtime": 1.4361,
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"eval_samples_per_second": 55.011,
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"eval_steps_per_second": 2.089
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+
}
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runs/May15_18-55-25_ebe0fb66aa14/events.out.tfevents.1715801741.ebe0fb66aa14.6767.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:7804457cf1de36a35520f78c6adbd954c20e3e91a802397d9d4a9b1e783ffa93
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size 411
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train_results.json
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{
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"epoch": 85.71428571428571,
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"total_flos": 2.9349165326823014e+18,
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+
"train_loss": 0.2789517060915629,
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+
"train_runtime": 2373.8808,
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"train_samples_per_second": 18.619,
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"train_steps_per_second": 0.126
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}
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trainer_state.json
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1 |
+
{
|
2 |
+
"best_metric": 0.8481012658227848,
|
3 |
+
"best_model_checkpoint": "beit-base-patch16-224-fold1/checkpoint-248",
|
4 |
+
"epoch": 85.71428571428571,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 300,
|
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