Commit
•
2361c13
1
Parent(s):
c030c42
End of training
Browse files- README.md +3 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/May20_13-56-50_b94dbfcd7693/events.out.tfevents.1716215268.b94dbfcd7693.1289.6 +3 -0
- train_results.json +8 -0
- trainer_state.json +1023 -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: 0.8227848101265823
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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: 0.8625
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- Accuracy: 0.8228
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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": 0.8227848101265823,
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+
"eval_loss": 0.8625026941299438,
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+
"eval_runtime": 1.2267,
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+
"eval_samples_per_second": 64.4,
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+
"eval_steps_per_second": 2.446,
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"total_flos": 2.9349165326823014e+18,
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+
"train_loss": 0.2534414354960124,
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+
"train_runtime": 1834.4014,
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+
"train_samples_per_second": 24.095,
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"train_steps_per_second": 0.164
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}
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eval_results.json
ADDED
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+
{
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"epoch": 85.71428571428571,
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+
"eval_accuracy": 0.8227848101265823,
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+
"eval_loss": 0.8625026941299438,
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+
"eval_runtime": 1.2267,
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+
"eval_samples_per_second": 64.4,
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"eval_steps_per_second": 2.446
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}
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runs/May20_13-56-50_b94dbfcd7693/events.out.tfevents.1716215268.b94dbfcd7693.1289.6
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:99fbfab9cde40d344b933327ef0889716b34d0fe22e18999a0e220f601bb7b6d
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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": 0.2534414354960124,
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+
"train_runtime": 1834.4014,
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+
"train_samples_per_second": 24.095,
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"train_steps_per_second": 0.164
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}
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trainer_state.json
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