End of training
Browse files- README.md +3 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Feb24_14-42-30_88354ccce9ce/events.out.tfevents.1708788795.88354ccce9ce.155.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1020 -0
README.md
CHANGED
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@@ -22,7 +22,7 @@ model-index:
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| 22 |
metrics:
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| 23 |
- name: Accuracy
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| 24 |
type: accuracy
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| 25 |
-
value: 0.
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| 26 |
---
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| 27 |
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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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@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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| 33 |
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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| 34 |
It achieves the following results on the evaluation set:
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-
- Loss: 0.
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| 36 |
-
- Accuracy: 0.
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| 37 |
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| 38 |
## Model description
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| 39 |
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| 22 |
metrics:
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| 23 |
- name: Accuracy
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| 24 |
type: accuracy
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| 25 |
+
value: 0.8803088803088803
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| 26 |
---
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| 27 |
|
| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 32 |
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| 33 |
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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| 34 |
It achieves the following results on the evaluation set:
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| 35 |
+
- Loss: 0.5056
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| 36 |
+
- Accuracy: 0.8803
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| 37 |
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| 38 |
## Model description
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| 39 |
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all_results.json
ADDED
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@@ -0,0 +1,13 @@
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{
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+
"epoch": 49.32,
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+
"eval_accuracy": 0.8803088803088803,
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| 4 |
+
"eval_loss": 0.5055761933326721,
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| 5 |
+
"eval_runtime": 4.9441,
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| 6 |
+
"eval_samples_per_second": 52.386,
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| 7 |
+
"eval_steps_per_second": 1.82,
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| 8 |
+
"total_flos": 2.8579589371326874e+18,
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| 9 |
+
"train_loss": 0.3051255483759774,
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| 10 |
+
"train_runtime": 3022.9937,
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| 11 |
+
"train_samples_per_second": 38.554,
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| 12 |
+
"train_steps_per_second": 0.298
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| 13 |
+
}
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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": 49.32,
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| 3 |
+
"eval_accuracy": 0.8803088803088803,
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| 4 |
+
"eval_loss": 0.5055761933326721,
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| 5 |
+
"eval_runtime": 4.9441,
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| 6 |
+
"eval_samples_per_second": 52.386,
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| 7 |
+
"eval_steps_per_second": 1.82
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| 8 |
+
}
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runs/Feb24_14-42-30_88354ccce9ce/events.out.tfevents.1708788795.88354ccce9ce.155.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:cfb569059600bf30a98df3bae747d2ca0f804f1eb4c9e6f5dd7a164c313ee5eb
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+
size 411
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train_results.json
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{
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"epoch": 49.32,
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+
"total_flos": 2.8579589371326874e+18,
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| 4 |
+
"train_loss": 0.3051255483759774,
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| 5 |
+
"train_runtime": 3022.9937,
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| 6 |
+
"train_samples_per_second": 38.554,
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| 7 |
+
"train_steps_per_second": 0.298
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+
}
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trainer_state.json
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@@ -0,0 +1,1020 @@
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