Commit
•
ca12514
1
Parent(s):
b60f712
End of training
Browse files- README.md +1 -1
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/May20_18-16-45_b94dbfcd7693/events.out.tfevents.1716230861.b94dbfcd7693.1289.24 +3 -0
- train_results.json +8 -0
- trainer_state.json +1079 -0
README.md
CHANGED
@@ -32,7 +32,7 @@ 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: 0.9535
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## Model description
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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: 0.3326
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- Accuracy: 0.9535
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## Model description
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all_results.json
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{
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"epoch": 100.0,
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"eval_accuracy": 0.9534883720930233,
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"eval_loss": 0.33263495564460754,
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"eval_runtime": 0.694,
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"eval_samples_per_second": 61.963,
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"eval_steps_per_second": 2.882,
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"total_flos": 1.8667587341684736e+18,
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"train_loss": 0.16861820787191392,
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"train_runtime": 1839.5869,
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"train_samples_per_second": 13.101,
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"train_steps_per_second": 0.109
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}
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eval_results.json
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{
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"epoch": 100.0,
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"eval_accuracy": 0.9534883720930233,
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"eval_loss": 0.33263495564460754,
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"eval_runtime": 0.694,
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"eval_samples_per_second": 61.963,
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"eval_steps_per_second": 2.882
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}
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runs/May20_18-16-45_b94dbfcd7693/events.out.tfevents.1716230861.b94dbfcd7693.1289.24
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version https://git-lfs.github.com/spec/v1
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oid sha256:769cc772d06eb983b9dbf8abac71ab6e49f0ed81dda56652c6d90e0b38c762d8
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size 411
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train_results.json
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@@ -0,0 +1,8 @@
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{
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"epoch": 100.0,
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"total_flos": 1.8667587341684736e+18,
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"train_loss": 0.16861820787191392,
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"train_runtime": 1839.5869,
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"train_samples_per_second": 13.101,
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"train_steps_per_second": 0.109
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}
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trainer_state.json
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1 |
+
{
|
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+
"best_metric": 0.9534883720930233,
|
3 |
+
"best_model_checkpoint": "beit-base-patch16-224-75-fold3/checkpoint-60",
|
4 |
+
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