distilbert-base-uncased-finetuned-ner-cadec

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5810
• Precision: 0.6034
• Recall: 0.6772
• F1: 0.6382
• Accuracy: 0.9089
• Adr Precision: 0.5748
• Adr Recall: 0.685
• Adr F1: 0.6251
• Disease Precision: 0.2069
• Disease Recall: 0.24
• Disease F1: 0.2222
• Drug Precision: 0.8830
• Drug Recall: 0.9321
• Drug F1: 0.9069
• Finding Precision: 0.34
• Finding Recall: 0.2464
• Finding F1: 0.2857
• Symptom Precision: 0.5
• Symptom Recall: 0.4815
• Symptom F1: 0.4906
• B-adr Precision: 0.7445
• B-adr Recall: 0.7735
• B-adr F1: 0.7587
• B-disease Precision: 0.2917
• B-disease Recall: 0.28
• B-disease F1: 0.2857
• B-drug Precision: 0.9394
• B-drug Recall: 0.9568
• B-drug F1: 0.9480
• B-finding Precision: 0.5278
• B-finding Recall: 0.2879
• B-finding F1: 0.3725
• B-symptom Precision: 0.8
• B-symptom Recall: 0.5926
• B-symptom F1: 0.6809
• I-adr Precision: 0.5640
• I-adr Recall: 0.6781
• I-adr F1: 0.6158
• I-disease Precision: 0.2609
• I-disease Recall: 0.3
• I-disease F1: 0.2791
• I-drug Precision: 0.8935
• I-drug Recall: 0.9321
• I-drug F1: 0.9124
• I-finding Precision: 0.4211
• I-finding Recall: 0.3077
• I-finding F1: 0.3556
• I-symptom Precision: 0.375
• I-symptom Recall: 0.4615
• I-symptom F1: 0.4138
• Macro Avg F1: 0.5622
• Weighted Avg F1: 0.7023

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 40

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy	Adr Precision	Adr Recall	Adr F1	Disease Precision	Disease Recall	Disease F1	Drug Precision	Drug Recall	Drug F1	Finding Precision	Finding Recall	Finding F1	Symptom Precision	Symptom Recall	Symptom F1	B-adr Precision	B-adr Recall	B-adr F1	B-disease Precision	B-disease Recall	B-disease F1	B-drug Precision	B-drug Recall	B-drug F1	B-finding Precision	B-finding Recall	B-finding F1	B-symptom Precision	B-symptom Recall	B-symptom F1	I-adr Precision	I-adr Recall	I-adr F1	I-disease Precision	I-disease Recall	I-disease F1	I-drug Precision	I-drug Recall	I-drug F1	I-finding Precision	I-finding Recall	I-finding F1	I-symptom Precision	I-symptom Recall	I-symptom F1	Macro Avg F1	Weighted Avg F1
No log	1.0	125	0.3451	0.4393	0.5323	0.4813	0.8879	0.3653	0.5467	0.4379	0.0	0.0	0.0	0.8256	0.8765	0.8503	0.0	0.0	0.0	0.0	0.0	0.0	0.6055	0.7469	0.6688	0.0	0.0	0.0	0.9299	0.9012	0.9154	0.0	0.0	0.0	0.0	0.0	0.0	0.3752	0.5142	0.4338	0.0	0.0	0.0	0.8412	0.8827	0.8614	0.0	0.0	0.0	0.0	0.0	0.0	0.2879	0.5549
No log	2.0	250	0.2944	0.5341	0.6127	0.5707	0.9016	0.49	0.6533	0.5600	0.0	0.0	0.0	0.8869	0.9198	0.9030	0.0	0.0	0.0	0.0	0.0	0.0	0.6885	0.7823	0.7324	0.0	0.0	0.0	0.9563	0.9444	0.9503	0.4286	0.0455	0.0822	0.0	0.0	0.0	0.4883	0.6316	0.5508	0.0625	0.05	0.0556	0.8922	0.9198	0.9058	0.1905	0.0769	0.1096	0.0	0.0	0.0	0.3387	0.6298
No log	3.0	375	0.2897	0.5469	0.6410	0.5902	0.9043	0.5267	0.675	0.5917	0.0667	0.12	0.0857	0.8772	0.9259	0.9009	0.16	0.1159	0.1345	0.0	0.0	0.0	0.72	0.7965	0.7563	0.2632	0.2	0.2273	0.9333	0.9506	0.9419	0.5769	0.2273	0.3261	0.0	0.0	0.0	0.5144	0.6498	0.5742	0.0286	0.05	0.0364	0.8994	0.9383	0.9184	0.2286	0.1538	0.1839	0.0	0.0	0.0	0.3964	0.6619
0.3099	4.0	500	0.3058	0.5805	0.6410	0.6093	0.9074	0.5472	0.6667	0.6011	0.0952	0.08	0.0870	0.8862	0.9136	0.8997	0.2642	0.2029	0.2295	0.6667	0.0741	0.1333	0.7187	0.7823	0.7492	0.4167	0.2	0.2703	0.9448	0.9506	0.9477	0.5161	0.2424	0.3299	0.6667	0.0741	0.1333	0.5418	0.6296	0.5824	0.0833	0.05	0.0625	0.9146	0.9259	0.9202	0.3810	0.3077	0.3404	0.0	0.0	0.0	0.4336	0.6713
0.3099	5.0	625	0.3154	0.5639	0.6444	0.6015	0.9084	0.5393	0.6633	0.5949	0.1143	0.16	0.1333	0.8976	0.9198	0.9085	0.2333	0.2029	0.2171	0.4	0.1481	0.2162	0.7223	0.7965	0.7576	0.3333	0.24	0.2791	0.9503	0.9444	0.9474	0.525	0.3182	0.3962	0.5714	0.1481	0.2353	0.5398	0.6457	0.5880	0.0741	0.1	0.0851	0.9091	0.9259	0.9174	0.3947	0.2885	0.3333	0.6667	0.1538	0.25	0.4789	0.6825
0.3099	6.0	750	0.3438	0.5723	0.6501	0.6087	0.9083	0.5589	0.6567	0.6038	0.1379	0.32	0.1928	0.9036	0.9259	0.9146	0.2449	0.1739	0.2034	0.4	0.3704	0.3846	0.7375	0.7805	0.7584	0.2353	0.32	0.2712	0.9506	0.9506	0.9506	0.64	0.2424	0.3516	0.7143	0.3704	0.4878	0.5526	0.6275	0.5877	0.1	0.25	0.1429	0.9207	0.9321	0.9264	0.3235	0.2115	0.2558	0.2857	0.3077	0.2963	0.5029	0.6848
0.3099	7.0	875	0.3419	0.5839	0.6659	0.6222	0.9126	0.5536	0.6717	0.6069	0.2222	0.24	0.2308	0.9042	0.9321	0.9179	0.2951	0.2609	0.2769	0.4167	0.3704	0.3922	0.7276	0.8035	0.7637	0.35	0.28	0.3111	0.9506	0.9506	0.9506	0.5882	0.3030	0.4000	0.75	0.4444	0.5581	0.5614	0.6478	0.6015	0.2105	0.2	0.2051	0.9157	0.9383	0.9268	0.42	0.4038	0.4118	0.3333	0.3846	0.3571	0.5486	0.7012
0.106	8.0	1000	0.3835	0.5827	0.6501	0.6146	0.9113	0.5610	0.6433	0.5994	0.1481	0.16	0.1538	0.8909	0.9074	0.8991	0.3256	0.4058	0.3613	0.4737	0.3333	0.3913	0.7336	0.7894	0.7604	0.3333	0.28	0.3043	0.9563	0.9444	0.9503	0.56	0.4242	0.4828	0.7692	0.3704	0.5	0.5733	0.6093	0.5908	0.1176	0.1	0.1081	0.8970	0.9136	0.9052	0.3836	0.5385	0.4480	0.5	0.3846	0.4348	0.5485	0.6975
0.106	9.0	1125	0.3886	0.5704	0.6467	0.6062	0.9054	0.5413	0.645	0.5886	0.1667	0.28	0.2090	0.9048	0.9383	0.9212	0.3051	0.2609	0.2812	0.4118	0.2593	0.3182	0.7427	0.7664	0.7544	0.2667	0.32	0.2909	0.9451	0.9568	0.9509	0.6	0.3182	0.4158	0.8182	0.3333	0.4737	0.5167	0.6255	0.5659	0.1515	0.25	0.1887	0.9162	0.9444	0.9301	0.4222	0.3654	0.3918	0.2222	0.1538	0.1818	0.5144	0.6838
0.106	10.0	1250	0.4238	0.5812	0.6569	0.6167	0.9055	0.5559	0.6633	0.6049	0.1860	0.32	0.2353	0.8830	0.9321	0.9069	0.3659	0.2174	0.2727	0.2963	0.2963	0.2963	0.7274	0.7841	0.7547	0.2812	0.36	0.3158	0.9341	0.9630	0.9483	0.6667	0.2424	0.3556	0.7692	0.3704	0.5	0.5436	0.6437	0.5894	0.1562	0.25	0.1923	0.8889	0.9383	0.9129	0.5625	0.3462	0.4286	0.2222	0.3077	0.2581	0.5256	0.6894
0.106	11.0	1375	0.4241	0.6041	0.6704	0.6355	0.9085	0.5745	0.6617	0.6150	0.2333	0.28	0.2545	0.8862	0.9136	0.8997	0.4483	0.3768	0.4094	0.4118	0.5185	0.4590	0.7539	0.7699	0.7618	0.3636	0.32	0.3404	0.9620	0.9383	0.95	0.6279	0.4091	0.4954	0.6818	0.5556	0.6122	0.5484	0.6417	0.5914	0.2174	0.25	0.2326	0.8922	0.9198	0.9058	0.5238	0.4231	0.4681	0.2727	0.4615	0.3429	0.5701	0.7027
0.0487	12.0	1500	0.4209	0.5928	0.6727	0.6302	0.9122	0.5552	0.67	0.6073	0.3182	0.28	0.2979	0.9036	0.9259	0.9146	0.375	0.3478	0.3609	0.4231	0.4074	0.4151	0.7229	0.8035	0.7611	0.4444	0.32	0.3721	0.9625	0.9506	0.9565	0.65	0.3939	0.4906	0.8125	0.4815	0.6047	0.5556	0.6478	0.5981	0.2941	0.25	0.2703	0.9036	0.9259	0.9146	0.4286	0.4038	0.4158	0.2778	0.3846	0.3226	0.5706	0.7048
0.0487	13.0	1625	0.4513	0.6186	0.6852	0.6502	0.9119	0.5835	0.6933	0.6337	0.2727	0.24	0.2553	0.9042	0.9321	0.9179	0.3962	0.3043	0.3443	0.4783	0.4074	0.4400	0.7492	0.7929	0.7704	0.4118	0.28	0.3333	0.9451	0.9568	0.9509	0.6389	0.3485	0.4510	0.7222	0.4815	0.5778	0.5669	0.6862	0.6209	0.2632	0.25	0.2564	0.9042	0.9321	0.9179	0.475	0.3654	0.4130	0.2857	0.3077	0.2963	0.5588	0.7118
0.0487	14.0	1750	0.4426	0.6198	0.6795	0.6483	0.9127	0.5876	0.6817	0.6312	0.2667	0.32	0.2909	0.8976	0.9198	0.9085	0.42	0.3043	0.3529	0.5	0.4815	0.4906	0.7483	0.7841	0.7658	0.3077	0.32	0.3137	0.9563	0.9444	0.9503	0.6364	0.3182	0.4242	0.8333	0.5556	0.6667	0.5739	0.6599	0.6139	0.28	0.35	0.3111	0.8976	0.9198	0.9085	0.5263	0.3846	0.4444	0.375	0.4615	0.4138	0.5813	0.7097
0.0487	15.0	1875	0.4840	0.5939	0.6806	0.6343	0.9054	0.5742	0.6833	0.6240	0.2	0.32	0.2462	0.8728	0.9321	0.9015	0.3774	0.2899	0.3279	0.375	0.4444	0.4068	0.7349	0.7947	0.7636	0.2353	0.32	0.2712	0.9231	0.9630	0.9426	0.5882	0.3030	0.4000	0.7	0.5185	0.5957	0.5601	0.6700	0.6101	0.2143	0.3	0.25	0.8882	0.9321	0.9096	0.5	0.3846	0.4348	0.3182	0.5385	0.4000	0.5578	0.7030
0.0249	16.0	2000	0.4942	0.5853	0.6602	0.6205	0.9056	0.5479	0.6583	0.5980	0.2222	0.24	0.2308	0.8772	0.9259	0.9009	0.375	0.3043	0.336	0.5238	0.4074	0.4583	0.7208	0.7858	0.7519	0.3182	0.28	0.2979	0.9398	0.9630	0.9512	0.6111	0.3333	0.4314	0.75	0.4444	0.5581	0.5354	0.6437	0.5846	0.2273	0.25	0.2381	0.8876	0.9259	0.9063	0.4419	0.3654	0.4	0.4	0.4615	0.4286	0.5548	0.6915
0.0249	17.0	2125	0.5013	0.5874	0.6738	0.6276	0.9038	0.5491	0.68	0.6076	0.2286	0.32	0.2667	0.8830	0.9321	0.9069	0.3721	0.2319	0.2857	0.5714	0.4444	0.5	0.7093	0.7947	0.7496	0.2667	0.32	0.2909	0.9451	0.9568	0.9509	0.6071	0.2576	0.3617	0.75	0.4444	0.5581	0.5423	0.6619	0.5962	0.2308	0.3	0.2609	0.8882	0.9321	0.9096	0.4545	0.2885	0.3529	0.5	0.4615	0.4800	0.5511	0.6907
0.0249	18.0	2250	0.5036	0.5980	0.6704	0.6321	0.9087	0.5535	0.6817	0.6109	0.2857	0.24	0.2609	0.9255	0.9198	0.9226	0.38	0.2754	0.3193	0.4737	0.3333	0.3913	0.7211	0.8053	0.7609	0.3889	0.28	0.3256	0.9684	0.9444	0.9562	0.6176	0.3182	0.4200	0.7692	0.3704	0.5	0.5468	0.6619	0.5989	0.2778	0.25	0.2632	0.9255	0.9198	0.9226	0.4857	0.3269	0.3908	0.3571	0.3846	0.3704	0.5509	0.6998
0.0249	19.0	2375	0.4998	0.5823	0.6693	0.6228	0.9056	0.5467	0.6733	0.6034	0.2069	0.24	0.2222	0.8935	0.9321	0.9124	0.3333	0.2754	0.3016	0.5238	0.4074	0.4583	0.7315	0.7858	0.7577	0.2727	0.24	0.2553	0.9509	0.9568	0.9538	0.525	0.3182	0.3962	0.8	0.4444	0.5714	0.5329	0.6559	0.5880	0.2083	0.25	0.2273	0.8935	0.9321	0.9124	0.4722	0.3269	0.3864	0.3846	0.3846	0.3846	0.5433	0.6926
0.0142	20.0	2500	0.5451	0.5727	0.6738	0.6191	0.9020	0.5433	0.68	0.6040	0.1818	0.24	0.2069	0.8772	0.9259	0.9009	0.3519	0.2754	0.3089	0.4	0.4444	0.4211	0.7078	0.8018	0.7519	0.2692	0.28	0.2745	0.9455	0.9630	0.9541	0.5556	0.3030	0.3922	0.6842	0.4815	0.5652	0.5277	0.6559	0.5848	0.25	0.3	0.2727	0.8876	0.9259	0.9063	0.4878	0.3846	0.4301	0.3158	0.4615	0.3750	0.5507	0.6909
0.0142	21.0	2625	0.5272	0.6012	0.6761	0.6365	0.9064	0.5690	0.6733	0.6168	0.2121	0.28	0.2414	0.8882	0.9321	0.9096	0.4107	0.3333	0.3680	0.5	0.4444	0.4706	0.7433	0.7894	0.7657	0.2593	0.28	0.2692	0.9451	0.9568	0.9509	0.5714	0.3636	0.4444	0.6842	0.4815	0.5652	0.5493	0.6538	0.5970	0.2593	0.35	0.2979	0.8935	0.9321	0.9124	0.5122	0.4038	0.4516	0.3846	0.3846	0.3846	0.5639	0.7031
0.0142	22.0	2750	0.5135	0.5966	0.6716	0.6319	0.9092	0.5614	0.6633	0.6081	0.1875	0.24	0.2105	0.8929	0.9259	0.9091	0.4167	0.3623	0.3876	0.56	0.5185	0.5385	0.7395	0.7788	0.7586	0.2917	0.28	0.2857	0.9509	0.9568	0.9538	0.5532	0.3939	0.4602	0.7895	0.5556	0.6522	0.5477	0.6397	0.5901	0.2308	0.3	0.2609	0.8982	0.9259	0.9119	0.4889	0.4231	0.4536	0.4286	0.4615	0.4444	0.5771	0.7012
0.0142	23.0	2875	0.5271	0.5853	0.6682	0.6240	0.9091	0.5464	0.6667	0.6006	0.25	0.24	0.2449	0.8779	0.9321	0.9042	0.375	0.3043	0.336	0.5	0.4444	0.4706	0.7224	0.7876	0.7536	0.3333	0.28	0.3043	0.9401	0.9691	0.9544	0.5526	0.3182	0.4038	0.8235	0.5185	0.6364	0.5413	0.6498	0.5906	0.2632	0.25	0.2564	0.8830	0.9321	0.9069	0.4762	0.3846	0.4255	0.3571	0.3846	0.3704	0.5602	0.6952
0.009	24.0	3000	0.5268	0.5887	0.6580	0.6214	0.9100	0.5534	0.6567	0.6006	0.2143	0.24	0.2264	0.8824	0.9259	0.9036	0.3704	0.2899	0.3252	0.4783	0.4074	0.4400	0.7409	0.7894	0.7644	0.3043	0.28	0.2917	0.9398	0.9630	0.9512	0.6111	0.3333	0.4314	0.8667	0.4815	0.6190	0.5534	0.6397	0.5934	0.2727	0.3	0.2857	0.8876	0.9259	0.9063	0.4286	0.3462	0.3830	0.3333	0.3846	0.3571	0.5583	0.6990
0.009	25.0	3125	0.5392	0.5928	0.6693	0.6287	0.9080	0.5542	0.6733	0.6080	0.2069	0.24	0.2222	0.8876	0.9259	0.9063	0.4091	0.2609	0.3186	0.5	0.4815	0.4906	0.7310	0.7841	0.7566	0.3043	0.28	0.2917	0.9568	0.9568	0.9568	0.6129	0.2879	0.3918	0.7	0.5185	0.5957	0.5432	0.6619	0.5967	0.2609	0.3	0.2791	0.8982	0.9259	0.9119	0.5625	0.3462	0.4286	0.375	0.4615	0.4138	0.5623	0.6983
0.009	26.0	3250	0.5548	0.59	0.6682	0.6267	0.9049	0.5490	0.6717	0.6042	0.2333	0.28	0.2545	0.8779	0.9321	0.9042	0.4359	0.2464	0.3148	0.48	0.4444	0.4615	0.7313	0.7805	0.7551	0.28	0.28	0.28	0.9512	0.9630	0.9571	0.6207	0.2727	0.3789	0.7368	0.5185	0.6087	0.5317	0.6619	0.5897	0.3043	0.35	0.3256	0.8830	0.9321	0.9069	0.5357	0.2885	0.3750	0.3571	0.3846	0.3704	0.5547	0.6931
0.009	27.0	3375	0.5364	0.5768	0.6636	0.6172	0.9079	0.5386	0.6633	0.5945	0.2162	0.32	0.2581	0.8779	0.9321	0.9042	0.4048	0.2464	0.3063	0.4615	0.4444	0.4528	0.7159	0.7805	0.7468	0.2667	0.32	0.2909	0.9512	0.9630	0.9571	0.6	0.2727	0.3750	0.7778	0.5185	0.6222	0.5356	0.6397	0.5830	0.2414	0.35	0.2857	0.8830	0.9321	0.9069	0.5667	0.3269	0.4146	0.3333	0.3846	0.3571	0.5539	0.6889
0.007	28.0	3500	0.5642	0.5885	0.6738	0.6283	0.9052	0.5526	0.6833	0.6110	0.2222	0.24	0.2308	0.8817	0.9198	0.9003	0.3725	0.2754	0.3167	0.5	0.4074	0.4490	0.7150	0.7858	0.7487	0.2857	0.24	0.2609	0.9444	0.9444	0.9444	0.5135	0.2879	0.3689	0.8	0.4444	0.5714	0.5453	0.6822	0.6061	0.2727	0.3	0.2857	0.8982	0.9259	0.9119	0.4865	0.3462	0.4045	0.3333	0.3846	0.3571	0.5460	0.6941
0.007	29.0	3625	0.5695	0.5968	0.6772	0.6345	0.9063	0.5659	0.68	0.6177	0.25	0.28	0.2642	0.8889	0.9383	0.9129	0.3214	0.2609	0.2880	0.5	0.4815	0.4906	0.7321	0.7788	0.7547	0.3043	0.28	0.2917	0.9455	0.9630	0.9541	0.525	0.3182	0.3962	0.6364	0.5185	0.5714	0.5521	0.6761	0.6078	0.2727	0.3	0.2857	0.8994	0.9383	0.9184	0.4286	0.3462	0.3830	0.375	0.4615	0.4138	0.5577	0.6998
0.007	30.0	3750	0.5679	0.5910	0.6659	0.6262	0.9076	0.5627	0.6733	0.6131	0.2222	0.24	0.2308	0.8721	0.9259	0.8982	0.32	0.2319	0.2689	0.4286	0.4444	0.4364	0.7420	0.7788	0.7599	0.2727	0.24	0.2553	0.9451	0.9568	0.9509	0.5143	0.2727	0.3564	0.5909	0.4815	0.5306	0.5503	0.6640	0.6018	0.2609	0.3	0.2791	0.8830	0.9321	0.9069	0.4595	0.3269	0.3820	0.3125	0.3846	0.3448	0.5368	0.6947
0.007	31.0	3875	0.5647	0.5847	0.6648	0.6222	0.9082	0.5531	0.6683	0.6053	0.2059	0.28	0.2373	0.8772	0.9259	0.9009	0.3673	0.2609	0.3051	0.44	0.4074	0.4231	0.7329	0.7770	0.7543	0.2963	0.32	0.3077	0.9451	0.9568	0.9509	0.6129	0.2879	0.3918	0.7222	0.4815	0.5778	0.5431	0.6498	0.5917	0.24	0.3	0.2667	0.8824	0.9259	0.9036	0.4595	0.3269	0.3820	0.3125	0.3846	0.3448	0.5471	0.6921
0.0049	32.0	4000	0.5626	0.5899	0.6727	0.6286	0.9097	0.5577	0.6767	0.6114	0.2593	0.28	0.2692	0.8772	0.9259	0.9009	0.3273	0.2609	0.2903	0.5	0.4815	0.4906	0.7388	0.7858	0.7616	0.32	0.32	0.32	0.9451	0.9568	0.9509	0.5263	0.3030	0.3846	0.7895	0.5556	0.6522	0.5497	0.6599	0.5998	0.3	0.3	0.3	0.8882	0.9321	0.9096	0.4524	0.3654	0.4043	0.375	0.4615	0.4138	0.5697	0.7008
0.0049	33.0	4125	0.5695	0.6046	0.6806	0.6404	0.9111	0.5722	0.68	0.6215	0.2593	0.28	0.2692	0.8830	0.9321	0.9069	0.4	0.3188	0.3548	0.4643	0.4815	0.4727	0.7504	0.7823	0.7660	0.3333	0.32	0.3265	0.9451	0.9568	0.9509	0.5714	0.3636	0.4444	0.6957	0.5926	0.6400	0.5692	0.6741	0.6172	0.2727	0.3	0.2857	0.8941	0.9383	0.9157	0.4634	0.3654	0.4086	0.375	0.4615	0.4138	0.5769	0.7107
0.0049	34.0	4250	0.5680	0.6012	0.6761	0.6365	0.9106	0.5704	0.675	0.6183	0.2143	0.24	0.2264	0.8830	0.9321	0.9069	0.3929	0.3188	0.3520	0.4643	0.4815	0.4727	0.7492	0.7823	0.7654	0.3182	0.28	0.2979	0.9455	0.9630	0.9541	0.5814	0.3788	0.4587	0.7619	0.5926	0.6667	0.5619	0.6619	0.6078	0.25	0.3	0.2727	0.8882	0.9321	0.9096	0.5	0.3846	0.4348	0.3529	0.4615	0.4000	0.5768	0.7085
0.0049	35.0	4375	0.5719	0.6026	0.6784	0.6383	0.9100	0.5716	0.6783	0.6204	0.1935	0.24	0.2143	0.8889	0.9383	0.9129	0.3889	0.3043	0.3415	0.5	0.4815	0.4906	0.7491	0.7770	0.7628	0.28	0.28	0.28	0.9455	0.9630	0.9541	0.55	0.3333	0.4151	0.8	0.5926	0.6809	0.5622	0.6680	0.6105	0.25	0.3	0.2727	0.8994	0.9383	0.9184	0.4390	0.3462	0.3871	0.375	0.4615	0.4138	0.5695	0.7060
0.0041	36.0	4500	0.5802	0.5982	0.6761	0.6348	0.9085	0.5641	0.675	0.6146	0.2414	0.28	0.2593	0.8786	0.9383	0.9075	0.3774	0.2899	0.3279	0.52	0.4815	0.5	0.7358	0.7788	0.7567	0.2917	0.28	0.2857	0.9401	0.9691	0.9544	0.5366	0.3333	0.4112	0.7368	0.5185	0.6087	0.5544	0.6700	0.6068	0.3182	0.35	0.3333	0.8941	0.9383	0.9157	0.4474	0.3269	0.3778	0.375	0.4615	0.4138	0.5664	0.7015
0.0041	37.0	4625	0.5831	0.6074	0.6852	0.6440	0.9083	0.5732	0.6917	0.6269	0.2222	0.24	0.2308	0.8837	0.9383	0.9102	0.3958	0.2754	0.3248	0.52	0.4815	0.5	0.7358	0.7788	0.7567	0.2917	0.28	0.2857	0.9455	0.9630	0.9541	0.5556	0.3030	0.3922	0.7368	0.5185	0.6087	0.5574	0.6781	0.6119	0.2632	0.25	0.2564	0.8941	0.9383	0.9157	0.4857	0.3269	0.3908	0.375	0.4615	0.4138	0.5586	0.7017
0.0041	38.0	4750	0.5736	0.5994	0.6795	0.6369	0.9101	0.5679	0.6833	0.6203	0.2069	0.24	0.2222	0.8837	0.9383	0.9102	0.3654	0.2754	0.3140	0.5	0.4815	0.4906	0.7417	0.7876	0.7639	0.2917	0.28	0.2857	0.9398	0.9630	0.9512	0.5385	0.3182	0.4000	0.8	0.5926	0.6809	0.5618	0.6721	0.6120	0.2609	0.3	0.2791	0.8941	0.9383	0.9157	0.4474	0.3269	0.3778	0.375	0.4615	0.4138	0.5680	0.7055
0.0041	39.0	4875	0.5792	0.6047	0.6772	0.6389	0.9092	0.5764	0.685	0.6260	0.2069	0.24	0.2222	0.8830	0.9321	0.9069	0.34	0.2464	0.2857	0.5	0.4815	0.4906	0.7470	0.7735	0.76	0.2917	0.28	0.2857	0.9451	0.9568	0.9509	0.5135	0.2879	0.3689	0.8	0.5926	0.6809	0.5659	0.6781	0.6169	0.2609	0.3	0.2791	0.8935	0.9321	0.9124	0.4211	0.3077	0.3556	0.375	0.4615	0.4138	0.5624	0.7032
0.0033	40.0	5000	0.5810	0.6034	0.6772	0.6382	0.9089	0.5748	0.685	0.6251	0.2069	0.24	0.2222	0.8830	0.9321	0.9069	0.34	0.2464	0.2857	0.5	0.4815	0.4906	0.7445	0.7735	0.7587	0.2917	0.28	0.2857	0.9394	0.9568	0.9480	0.5278	0.2879	0.3725	0.8	0.5926	0.6809	0.5640	0.6781	0.6158	0.2609	0.3	0.2791	0.8935	0.9321	0.9124	0.4211	0.3077	0.3556	0.375	0.4615	0.4138	0.5622	0.7023

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0