Commit
•
c757b60
1
Parent(s):
c58c9f8
End of training
Browse files- README.md +3 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/May23_15-42-23_2bc4f829fe52/events.out.tfevents.1716479366.2bc4f829fe52.989.39 +3 -0
- train_results.json +8 -0
- trainer_state.json +1021 -0
README.md
CHANGED
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@@ -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:
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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: 0.8181818181818182
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---
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| 28 |
<!-- 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: 1.6354
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+
- Accuracy: 0.8182
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## Model description
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all_results.json
ADDED
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{
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"epoch": 100.0,
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"eval_accuracy": 0.8181818181818182,
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+
"eval_loss": 1.635382056236267,
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+
"eval_runtime": 0.2152,
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+
"eval_samples_per_second": 51.111,
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+
"eval_steps_per_second": 4.646,
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"total_flos": 4.570114227259392e+17,
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+
"train_loss": 0.10187353670597077,
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+
"train_runtime": 408.9093,
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+
"train_samples_per_second": 14.429,
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"train_steps_per_second": 0.245
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+
}
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eval_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 100.0,
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+
"eval_accuracy": 0.8181818181818182,
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+
"eval_loss": 1.635382056236267,
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+
"eval_runtime": 0.2152,
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+
"eval_samples_per_second": 51.111,
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"eval_steps_per_second": 4.646
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+
}
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runs/May23_15-42-23_2bc4f829fe52/events.out.tfevents.1716479366.2bc4f829fe52.989.39
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:e4ede8b812e0d61c71e46670003ef63559be1de64bbbc1ed1fbd7732acbfc5b0
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+
size 405
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train_results.json
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{
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"epoch": 100.0,
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"total_flos": 4.570114227259392e+17,
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+
"train_loss": 0.10187353670597077,
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+
"train_runtime": 408.9093,
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+
"train_samples_per_second": 14.429,
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"train_steps_per_second": 0.245
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}
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trainer_state.json
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