End of training
Browse files- README.md +3 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +780 -0
README.md
CHANGED
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@@ -23,7 +23,7 @@ model-index:
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| 23 |
metrics:
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| 24 |
- name: Accuracy
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| 25 |
type: accuracy
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| 26 |
-
value: 0.
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| 27 |
---
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| 28 |
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| 29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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|
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
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| 33 |
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| 34 |
This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the imagefolder dataset.
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| 35 |
It achieves the following results on the evaluation set:
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| 36 |
-
- Loss: 0.
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| 37 |
-
- Accuracy: 0.
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| 38 |
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| 39 |
## Model description
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| 40 |
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| 23 |
metrics:
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| 24 |
- name: Accuracy
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| 25 |
type: accuracy
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| 26 |
+
value: 0.9117647058823529
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| 27 |
---
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| 28 |
|
| 29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 33 |
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| 34 |
This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the imagefolder dataset.
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| 35 |
It achieves the following results on the evaluation set:
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| 36 |
+
- Loss: 0.2838
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| 37 |
+
- Accuracy: 0.9118
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| 38 |
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| 39 |
## Model description
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| 40 |
|
all_results.json
ADDED
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@@ -0,0 +1,13 @@
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{
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+
"epoch": 46.15384615384615,
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+
"eval_accuracy": 0.9117647058823529,
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| 4 |
+
"eval_loss": 0.28377899527549744,
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| 5 |
+
"eval_runtime": 28.7002,
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| 6 |
+
"eval_samples_per_second": 4.739,
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| 7 |
+
"eval_steps_per_second": 0.174,
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| 8 |
+
"total_flos": 5.704428204815155e+17,
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| 9 |
+
"train_loss": 0.40061683946185644,
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| 10 |
+
"train_runtime": 12238.3074,
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| 11 |
+
"train_samples_per_second": 5.001,
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| 12 |
+
"train_steps_per_second": 0.037
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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": 46.15384615384615,
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+
"eval_accuracy": 0.9117647058823529,
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| 4 |
+
"eval_loss": 0.28377899527549744,
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| 5 |
+
"eval_runtime": 28.7002,
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| 6 |
+
"eval_samples_per_second": 4.739,
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| 7 |
+
"eval_steps_per_second": 0.174
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+
}
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train_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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+
"epoch": 46.15384615384615,
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+
"total_flos": 5.704428204815155e+17,
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+
"train_loss": 0.40061683946185644,
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+
"train_runtime": 12238.3074,
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+
"train_samples_per_second": 5.001,
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+
"train_steps_per_second": 0.037
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+
}
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trainer_state.json
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