epoch,train_precision,train_recall,train_f1,train_loss,val_precision,val_recall,val_f1,val_loss,model_name
0,0.9152119700748129,0.95822454308094,0.9362244897959184,0.007909696801639712,0.7954545454545454,0.875,0.8333333333333334,0.014211524910521958,allenai/scibert_scivocab_uncased
1,0.9180722891566265,0.9947780678851175,0.9548872180451128,0.00488481078725499,0.7,0.875,0.7777777777777777,0.019092032955315127,allenai/scibert_scivocab_uncased
2,0.9921875,0.9947780678851175,0.9934810951760104,0.0009244462695167972,0.7608695652173914,0.875,0.813953488372093,0.023895333846152392,allenai/scibert_scivocab_uncased
3,1.0,0.9216710182767625,0.9592391304347826,0.005162166425445645,0.9032258064516129,0.7,0.7887323943661972,0.031492474058396974,allenai/scibert_scivocab_uncased
4,1.0,0.9373368146214099,0.967654986522911,0.002573705199167244,0.9333333333333333,0.7,0.8,0.027869759211697435,allenai/scibert_scivocab_uncased
5,0.9871134020618557,1.0,0.993514915693904,0.0009337401260560197,0.7659574468085106,0.9,0.8275862068965516,0.03007823364727152,allenai/scibert_scivocab_uncased
6,1.0,0.9660574412532638,0.9827357237715804,0.002005338796843401,0.8571428571428571,0.75,0.7999999999999999,0.03205650251134703,allenai/scibert_scivocab_uncased
7,0.9921671018276762,0.9921671018276762,0.9921671018276762,0.0008296812519392951,0.7857142857142857,0.825,0.8048780487804876,0.0349798135885181,allenai/scibert_scivocab_uncased
8,1.0,0.9973890339425587,0.9986928104575163,0.00040162273187177816,0.8421052631578947,0.8,0.8205128205128205,0.03452008556349074,allenai/scibert_scivocab_uncased
9,0.9973544973544973,0.9843342036553525,0.9908015768725361,0.0011678959125322836,0.8857142857142857,0.775,0.8266666666666667,0.03328900252624104,allenai/scibert_scivocab_uncased