End of training
Browse files- README.md +2 -2
- all_results.json +8 -0
- confusion_matrix_kfold_fold_5.png +0 -0
- confusion_matrix_test_fold_5.png +0 -0
- confusion_matrix_trainfold_fold_5.png +0 -0
- test_results.json +8 -0
- trainer_state.json +771 -0
README.md
CHANGED
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@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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| 19 |
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown 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.
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## Model description
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| 18 |
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| 19 |
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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| 20 |
It achieves the following results on the evaluation set:
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+
- Loss: 0.3845
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- Accuracy: 0.9287
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## Model description
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all_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 9.099501661129569,
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"eval_accuracy": 0.9286833855799373,
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"eval_loss": 0.38447505235671997,
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"eval_runtime": 537.4022,
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"eval_samples_per_second": 2.374,
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| 7 |
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"eval_steps_per_second": 1.187
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}
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confusion_matrix_kfold_fold_5.png
ADDED
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confusion_matrix_test_fold_5.png
ADDED
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confusion_matrix_trainfold_fold_5.png
ADDED
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test_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 9.099501661129569,
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"eval_accuracy": 0.9286833855799373,
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"eval_loss": 0.38447505235671997,
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"eval_runtime": 537.4022,
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+
"eval_samples_per_second": 2.374,
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| 7 |
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"eval_steps_per_second": 1.187
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+
}
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trainer_state.json
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@@ -0,0 +1,771 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9925280199252802,
|
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