Create test_metrics.txt

test_metrics.txt

@@ -0,0 +1,77 @@
+Evaluating chunks:  17%|█▋        | 1/6 [4:43:12<23:36:00, 16992.11s/it]
+Results for chunk starting at index 0: 
+{'eval_loss': 0.16281947493553162, 
+'eval_accuracy': 0.9569658774883986, 
+'eval_precision': 0.3209956738348438, 
+'eval_recall': 0.7883697002335764, 
+'eval_f1': 0.4562306866120791, 
+'eval_auc': 0.8746433990040084, 
+'eval_mcc': 0.48648765699020435, 
+'eval_runtime': 16692.2625, 
+'eval_samples_per_second': 28.52, 
+'eval_steps_per_second': 3.565}
+100%|██████████| 59508/59508 [4:37:52<00:00,  3.57it/s]
+Evaluating chunks:  33%|███▎      | 2/6 [9:26:02<18:51:58, 16979.52s/it]
+Results for chunk starting at index 476059: 
+{'eval_loss': 0.16344980895519257, 
+'eval_accuracy': 0.9567777714533166, 
+'eval_precision': 0.3196216697006236, 
+'eval_recall': 0.7886024155104142, 
+'eval_f1': 0.45487988239740357, 
+'eval_auc': 0.8746579915201946, 
+'eval_mcc': 0.48544689923167195, 
+'eval_runtime': 16672.2981, 
+'eval_samples_per_second': 28.554, 
+'eval_steps_per_second': 3.569}
+100%|██████████| 59508/59508 [4:37:55<00:00,  3.57it/s]
+Evaluating chunks:  50%|█████     | 3/6 [14:08:51<14:08:44, 16974.73s/it]
+Results for chunk starting at index 952118: 
+{'eval_loss': 0.1632569283246994, 
+'eval_accuracy': 0.9568784778271985, 
+'eval_precision': 0.3203841149777803, 
+'eval_recall': 0.789200909046289, 
+'eval_f1': 0.45575134723334215, 
+'eval_auc': 0.875002615396714, 
+'eval_mcc': 0.4862682709936833, 
+'eval_runtime': 16675.4517, 
+'eval_samples_per_second': 28.548, 
+'eval_steps_per_second': 3.569}
+100%|██████████| 59508/59508 [4:37:56<00:00,  3.57it/s]
+Evaluating chunks:  67%|██████▋   | 4/6 [18:51:44<9:25:47, 16973.96s/it] 
+Results for chunk starting at index 1428177: 
+{'eval_loss': 0.16330331563949585, 
+'eval_accuracy': 0.9568334686135617, 
+'eval_precision': 0.3197263246852651, 
+'eval_recall': 0.7887993201040533, 
+'eval_f1': 0.45501862535446697, 
+'eval_auc': 0.8747806698685904, 
+'eval_mcc': 0.4856149474506069, 
+'eval_runtime': 16677.0911, 
+'eval_samples_per_second': 28.546, 
+'eval_steps_per_second': 3.568}
+100%|██████████| 59508/59508 [4:37:49<00:00,  3.57it/s]
+Evaluating chunks:  83%|████████▎ | 5/6 [23:34:14<4:42:45, 16965.32s/it]
+Results for chunk starting at index 1904236: 
+{'eval_loss': 0.16286899149417877, 
+'eval_accuracy': 0.9569266155719246, 
+'eval_precision': 0.31968617340856564, 
+'eval_recall': 0.7892815339885253, 
+'eval_f1': 0.455058144001455, 
+'eval_auc': 0.8750585709516482, 
+'eval_mcc': 0.48578368439237707, 
+'eval_runtime': 16670.1098, 
+'eval_samples_per_second': 28.558, 
+'eval_steps_per_second': 3.57}
+100%|██████████| 1/1 [00:00<00:00, 228.52it/s]
+Evaluating chunks: 100%|██████████| 6/6 [23:34:14<00:00, 14142.45s/it]  
+Results for chunk starting at index 2380295: 
+{'eval_loss': 0.1318976879119873, 
+'eval_accuracy': 0.9736842105263158, 
+'eval_precision': 0.3333333333333333, 
+'eval_recall': 0.7142857142857143, 
+'eval_f1': 0.4545454545454545, 
+'eval_auc': 0.8460069996818327, 
+'eval_mcc': 0.47700413796588736, 
+'eval_runtime': 0.0602, 
+'eval_samples_per_second': 16.615, 
+'eval_steps_per_second': 16.615}