| global_step,train_loss,eval_loss,precision,recall,f1_score |
| 1000,0.1248941496014595,0.13800142815505917,0.4846371034711842,0.41979571284707234,0.44989207523897623 |
| 2000,0.1565110832452774,0.12018181159245697,0.5045703839122486,0.4764782045748813,0.4901220865704773 |
| 3000,0.11230213195085526,0.11561041702093049,0.5379727216367018,0.4993526111350885,0.5179437439379243 |
| 3166,0.1464250236749649,0.11306420612064275,0.5538734095667579,0.4947489569846065,0.5226443768996961 |
| 4000,0.13592171669006348,0.11413881902328947,0.5160187953865869,0.5213638325420803,0.5186775440103049 |
| 5000,0.11957047134637833,0.11253610333766449,0.5586643994434998,0.5199251906200547,0.5385991058122206 |
| 6000,0.10566143691539764,0.10819986238229004,0.5772019126947401,0.5383398072219825,0.5570939407473574 |
| 6332,0.12447528541088104,0.1083609036762606,0.5710365853658537,0.5389152639907927,0.5545111390718673 |
| 7000,0.0662759318947792,0.11269116410138932,0.5959890021025392,0.5301395482664365,0.561139028475712 |
| 8000,0.06995037943124771,0.10897330694239248,0.5739287869643935,0.5472593871385412,0.5602768981515575 |
| 9000,0.10503079742193222,0.10939429514110088,0.5774992357077346,0.5435189181412746,0.5599940709997776 |
| 9498,0.10121016204357147,0.10823741682212461,0.5885368126747437,0.5451014242555028,0.565987004257226 |
|
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