Training Loss	Epoch	Step	Validation Loss	Negref Precision	Negref Recall	Negref F1	Neg Precision	Neg Recall	Neg F1	Nsco Precision	Nsco Recall	Nsco F1	Unc Precision	Unc Recall	Unc F1	Usco Precision	Usco Recall	Usco F1	Precision	Recall	F1	Accuracy
0.2259	1.0	1729	0.2246	0.4076	0.4890	0.4446	0.9112	0.9515	0.9310	0.7928	0.8654	0.8275	0.7015	0.8256	0.7585	0.4629	0.6735	0.5487	0.7158	0.8122	0.7610	0.9287
0.16	2.0	3458	0.2028	0.5217	0.5301	0.5259	0.9283	0.9642	0.9459	0.8311	0.8896	0.8593	0.7812	0.8513	0.8147	0.5734	0.7532	0.6511	0.7817	0.8405	0.8100	0.9397
0.1235	3.0	5187	0.2148	0.5176	0.4963	0.5067	0.9520	0.9607	0.9563	0.8641	0.8850	0.8744	0.7684	0.8846	0.8224	0.6113	0.7481	0.6728	0.8038	0.8350	0.8191	0.9439
0.0949	4.0	6916	0.2261	0.5054	0.6211	0.5573	0.9327	0.9642	0.9482	0.8450	0.8828	0.8635	0.7976	0.8487	0.8224	0.6034	0.7352	0.6628	0.7818	0.8512	0.8150	0.9450
0.0633	5.0	8645	0.2354	0.5609	0.5947	0.5773	0.9417	0.9649	0.9532	0.8669	0.9062	0.8861	0.8062	0.8641	0.8342	0.6334	0.7506	0.6871	0.8118	0.8573	0.8340	0.9461
0.0495	6.0	10374	0.2829	0.5585	0.5962	0.5767	0.9445	0.9684	0.9563	0.8671	0.9077	0.8869	0.8116	0.8615	0.8358	0.6526	0.7532	0.6993	0.8151	0.8592	0.8366	0.9442
0.0365	7.0	12103	0.2699	0.5446	0.5830	0.5631	0.9552	0.9572	0.9562	0.8804	0.9024	0.8913	0.8080	0.8846	0.8446	0.6521	0.7661	0.7045	0.8182	0.8550	0.8362	0.9473
0.0265	8.0	13832	0.3082	0.5630	0.5580	0.5605	0.9466	0.9593	0.9529	0.8702	0.9024	0.8860	0.8038	0.8718	0.8364	0.6571	0.7635	0.7063	0.8194	0.8502	0.8345	0.9460
0.0216	9.0	15561	0.3286	0.5485	0.5977	0.5720	0.9388	0.9691	0.9537	0.8715	0.9077	0.8892	0.8085	0.8769	0.8413	0.6453	0.7763	0.7048	0.8105	0.8633	0.8361	0.9455
0.0133	10.0	17290	0.3503	0.5732	0.6094	0.5907	0.9481	0.9628	0.9554	0.8698	0.8994	0.8843	0.8137	0.8846	0.8477	0.6816	0.7815	0.7281	0.8223	0.8616	0.8415	0.9482
0.0088	11.0	19019	0.3476	0.5584	0.6182	0.5868	0.9450	0.9656	0.9552	0.8614	0.9070	0.8836	0.8080	0.8846	0.8446	0.6659	0.7789	0.7180	0.8126	0.8661	0.8385	0.9483
0.0093	12.0	20748	0.3585	0.5638	0.6035	0.5830	0.9508	0.9642	0.9575	0.8692	0.9047	0.8866	0.8005	0.8846	0.8404	0.6696	0.7815	0.7212	0.8184	0.8628	0.8400	0.9482

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

ajtamayoh/NeRUBioS_xlm_RoBERTa_base_Training_Testing

NeRUBioS_xlm_RoBERTa_base_Training_Testing

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ajtamayoh/
NeRUBioS_xlm_RoBERTa_base_Training_Testing