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Browse files- app.py +0 -17
- result.txt +6 -5
- train.txt +0 -0
- train_info.txt +0 -0
- train_label.txt +0 -0
app.py
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@@ -141,23 +141,6 @@ def process_file(file,label,info, model_name):
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"-b",str(5)
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], shell=True)
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# For demonstration purposes, we'll just return the content with the selected model name
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if(model_name=="FS"):
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checkpoint="ratio_proportion_change3/output/FS/bert_fine_tuned.model.ep32"
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elif(model_name=="IS"):
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checkpoint="ratio_proportion_change3/output/IS/bert_fine_tuned.model.ep14"
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elif(model_name=="CORRECTNESS"):
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checkpoint="ratio_proportion_change3/output/correctness/bert_fine_tuned.model.ep48"
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elif(model_name=="EFFECTIVENESS"):
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checkpoint="ratio_proportion_change3/output/effectiveness/bert_fine_tuned.model.ep28"
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else:
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checkpoint=None
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print(checkpoint)
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subprocess.run(["python", "src/test_saved_model.py",
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"--finetuned_bert_checkpoint",checkpoint
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])
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result = {}
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with open("result.txt", 'r') as file:
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for line in file:
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"-b",str(5)
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], shell=True)
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result = {}
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with open("result.txt", 'r') as file:
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for line in file:
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result.txt
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@@ -1,7 +1,8 @@
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epoch: EP0_test
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precisions: 0.
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recalls:
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f1_scores: 0.
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auc_score: 0.5
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epoch: EP0_test
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avg_loss: 0.8247231508152465
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total_acc: 50.0
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precisions: 0.25
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recalls: 0.5
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f1_scores: 0.3333333333333333
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time_taken_from_start: 74.82294392585754
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auc_score: 0.5
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train.txt
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train_info.txt
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train_label.txt
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