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Medical SLM Model Output based on Graph Dictionary, 85% to 100% token success, 0.002 loss, 1.01 perplexity and all of this based on only 500 PubMed dataset samples and 85% weight on graph dictionary vector embeddings, These are simply results of 20 epochs of MLM training next I will run a CLM training on these saved checkpoints my goal is 95% to 100% success ratio based on graph vector embeddings and a tinny sample set

2025-03-02 07:48:36,128 – INFO – Epoch 20/20, Batch 1/50, Loss: 0.0121, Perplexity: 1.0122

2025-03-02 07:49:19,040 – INFO – Epoch 20/20, Batch 10/50, Loss: 0.0062, Perplexity: 1.0062

2025-03-02 07:50:06,699 – INFO – Epoch 20/20, Batch 20/50, Loss: 0.0138, Perplexity: 1.0139

2025-03-02 07:50:54,655 – INFO – Epoch 20/20, Batch 30/50, Loss: 0.0200, Perplexity: 1.0202

2025-03-02 07:51:42,764 – INFO – Epoch 20/20, Batch 40/50, Loss: 0.0248, Perplexity: 1.0251

2025-03-02 07:52:30,767 – INFO – Epoch 20/20, Batch 50/50, Loss: 0.0121, Perplexity: 1.0122

2025-03-02 07:52:30,768 – INFO – Epoch 20 completed. Training – Average Loss: 0.0138, Average Perplexity: 1.0139

2025-03-02 07:52:52,360 – INFO – Validation – Perplexity: 1.3930

2025-03-02 07:52:54,095 – INFO –

— Validation Examples – Full Sentence Prediction —

2025-03-02 07:52:54,096 – INFO – Example 1:

2025-03-02 07:52:54,097 – INFO – Question: Prognosis of well differentiated small hepatocellular carcinoma–is well differentiated hepatocellular carcinoma clinically early cancer?

2025-03-02 07:52:54,098 – INFO – Original: W-d HCCs were clinically demonstrated not to be early cancer, because there was no significant diffe…

2025-03-02 07:52:54,099 – INFO – Predicted: w – d hccs were clinically demonstrated not to be early cancer, because there was no significant dif…

2025-03-02 07:52:54,100 – INFO – Token-level accuracy: 100.00%

2025-03-02 07:52:54,100 – INFO – ————————————————–

2025-03-02 07:52:54,101 – INFO – Example 2:

2025-03-02 07:52:54,101 – INFO – Question: Profiling quality of care: Is there a role for peer review?

2025-03-02 07:52:54,102 – INFO – Original: For conditions with a well-developed quality of care evidence base, such as hypertension and diabete…

2025-03-02 07:52:54,103 – INFO – Predicted: for conditions with a well – developed quality of care evidence severe, such as hypertension and dia…

2025-03-02 07:52:54,104 – INFO – Token-level accuracy: 86.14%

2025-03-02 07:52:54,105 – INFO – ————————————————–

2025-03-02 07:52:54,106 – INFO – Example 3:

2025-03-02 07:52:54,107 – INFO – Question: Does automatic transmission improve driving behavior in older drivers?

2025-03-02 07:52:54,107 – INFO – Original: Switching to automatic transmission may be recommended for older drivers as a means to maintain safe…

2025-03-02 07:52:54,108 – INFO – Predicted: ##ptic to supportedem may be recommended for olderaneous as a means to maintain safe driving and the…

2025-03-02 07:52:54,109 – INFO – Token-level accuracy: 82.14%

2025-03-02 07:52:54,109 – INFO – ————————————————–

2025-03-02 07:52:54,110 – INFO – Example 4:

2025-03-02 07:52:54,111 – INFO – Question: Does angiotensin-converting enzyme-1 (ACE-1) gene polymorphism lead to chronic kidney disease among hypertensive patients?

2025-03-02 07:52:54,111 – INFO – Original: It is concluded that ACE-DD genotype may be a risk factor for the causation and development of chron…

2025-03-02 07:52:54,111 – INFO – Predicted: it is propose that ace – parallels genotype may be a risk factor for the ca thetion and of chronic k…

2025-03-02 07:52:54,113 – INFO – Token-level accuracy: 87.88%

2025-03-02 07:52:54,114 – INFO – ————————————————–

2025-03-02 07:52:54,115 – INFO – Example 5:

2025-03-02 07:52:54,116 – INFO – Question: Can transcranial direct current stimulation be useful in differentiating unresponsive wakefulness syndrome from minimally conscious state patients?

2025-03-02 07:52:54,116 – INFO – Original: a-tDCS could be useful in identifying residual connectivity markers in clinically-defined UWS, who m…

2025-03-02 07:52:54,117 – INFO – Predicted: a – tdcs could be useful in identifying residualhip markers in clinically – defined uses, who may la…

2025-03-02 07:52:54,118 – INFO – Token-level accuracy: 89.74%

2025-03-02 07:52:54,119 – INFO – ————————————————–

2025-03-02 07:52:54,120 – INFO – Example 6:

2025-03-02 07:52:54,121 – INFO – Question: Does timing of initial surfactant treatment make a difference in rates of chronic lung disease or mortality in premature infants?

2025-03-02 07:52:54,121 – INFO – Original: Early surfactant administration is associated with shorter duration of ventilation but does not appe…

2025-03-02 07:52:54,122 – INFO – Predicted: early cellactant administration is associated with shorter duration of ventilation but does not appe…

2025-03-02 07:52:54,123 – INFO – Token-level accuracy: 95.89%

2025-03-02 07:52:54,124 – INFO – ————————————————–

2025-03-02 07:52:54,125 – INFO – Example 7:

2025-03-02 07:52:54,125 – INFO – Question: Department of Transportation vs self-reported data on motor vehicle collisions and driving convictions for stroke survivors: do they agree?

2025-03-02 07:52:54,126 – INFO – Original: In our population of stroke survivors, self-reports of motor vehicle collisions and driving convicti…

2025-03-02 07:52:54,126 – INFO – Predicted: in our population severe stroke survivors, self – difference of motor preparation focused and drivin…

2025-03-02 07:52:54,128 – INFO – Token-level accuracy: 84.31%

2025-03-02 07:52:54,128 – INFO – ————————————————–

2025-03-02 07:52:54,129 – INFO – Example 8:

2025-03-02 07:52:54,130 – INFO – Question: Are performance measurement systems useful?

2025-03-02 07:52:54,130 – INFO – Original: This study contributes to the literature investigating the design and implementation of a non-financ…

2025-03-02 07:52:54,131 – INFO – Predicted: this study contributes to the literature italy the ” and implementation of a non – financial measure…

2025-03-02 07:52:54,133 – INFO – Token-level accuracy: 86.21%

2025-03-02 07:52:54,133 – INFO – ————————————————–

2025-03-02 07:52:54,161 – INFO – Training completed. Best perplexity achieved: 1.3339

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