Training Loss	Epoch	Step	Validation Loss	0 Precision	0 Recall	0 F1-score	1 Precision	1 Recall	1 F1-score	2 Precision	2 Recall	2 F1-score	3 Precision	3 Recall	3 F1-score	Accuracy	Macro avg Precision	Macro avg Recall	Macro avg F1-score	Weighted avg Precision	Weighted avg Recall	Weighted avg F1-score
No log	1.0	67	0.7625	0.9807	0.6141	0.7553	0.4507	0.9242	0.6059	0.1833	0.7455	0.2942	0.3184	0.6280	0.4226	0.6479	0.4833	0.7279	0.5195	0.8510	0.6479	0.6977
No log	2.0	134	0.5560	0.9828	0.6673	0.7949	0.4835	0.9278	0.6357	0.2298	0.7634	0.3532	0.3942	0.7892	0.5258	0.7032	0.5226	0.7870	0.5774	0.8631	0.7032	0.7419
No log	3.0	201	0.5080	0.9905	0.6402	0.7778	0.4718	0.9531	0.6312	0.2308	0.8100	0.3593	0.3957	0.8409	0.5382	0.6896	0.5222	0.8110	0.5766	0.8684	0.6896	0.7291
No log	4.0	268	0.4785	0.9840	0.7067	0.8226	0.4939	0.9549	0.6511	0.2580	0.8100	0.3913	0.4923	0.8215	0.6156	0.7413	0.5571	0.8233	0.6202	0.8734	0.7413	0.7736
No log	5.0	335	0.4872	0.9877	0.6839	0.8082	0.5178	0.9440	0.6688	0.2810	0.7885	0.4143	0.3887	0.8860	0.5403	0.7260	0.5438	0.8256	0.6079	0.8719	0.7260	0.7592
No log	6.0	402	0.4646	0.9873	0.7051	0.8227	0.5303	0.9477	0.6801	0.2845	0.8136	0.4215	0.4304	0.8839	0.5789	0.7441	0.5581	0.8376	0.6258	0.8758	0.7441	0.7748
No log	7.0	469	0.4540	0.9866	0.7006	0.8193	0.5122	0.9495	0.6654	0.2659	0.8387	0.4038	0.4656	0.8581	0.6036	0.7398	0.5576	0.8367	0.6230	0.8755	0.7398	0.7719
0.6085	8.0	536	0.4723	0.9839	0.7255	0.8352	0.5019	0.9549	0.6580	0.2909	0.8029	0.4271	0.4913	0.8473	0.6219	0.7578	0.5670	0.8326	0.6355	0.8754	0.7578	0.7862
0.6085	9.0	603	0.4998	0.9777	0.7716	0.8625	0.5286	0.9495	0.6791	0.3279	0.7921	0.4638	0.5496	0.8215	0.6586	0.7916	0.5960	0.8337	0.6660	0.8787	0.7916	0.8141
0.6085	10.0	670	0.4960	0.9867	0.7176	0.8309	0.5358	0.9458	0.6841	0.2789	0.8136	0.4154	0.4576	0.8710	0.6	0.7529	0.5647	0.8370	0.6326	0.8776	0.7529	0.7829
0.6085	11.0	737	0.5292	0.9760	0.7870	0.8713	0.5425	0.9440	0.6891	0.3302	0.7563	0.4597	0.5712	0.8280	0.6760	0.8023	0.6050	0.8288	0.6740	0.8802	0.8023	0.8231
0.6085	12.0	804	0.5283	0.9778	0.7666	0.8594	0.5438	0.9296	0.6862	0.3135	0.7563	0.4433	0.5130	0.8495	0.6397	0.7864	0.5870	0.8255	0.6571	0.8768	0.7864	0.8100
0.6085	13.0	871	0.5510	0.9793	0.7678	0.8608	0.5409	0.9422	0.6873	0.3107	0.7706	0.4428	0.5307	0.8366	0.6494	0.7882	0.5904	0.8293	0.6601	0.8789	0.7882	0.8118
0.6085	14.0	938	0.5859	0.9751	0.7913	0.8737	0.5610	0.9296	0.6997	0.3303	0.7742	0.4630	0.5641	0.8237	0.6696	0.8050	0.6076	0.8297	0.6765	0.8806	0.8050	0.8255
0.2627	15.0	1005	0.6114	0.9770	0.7811	0.8681	0.5360	0.9404	0.6828	0.3392	0.7563	0.4684	0.5418	0.8366	0.6577	0.7979	0.5985	0.8286	0.6692	0.8787	0.7979	0.8190
0.2627	16.0	1072	0.6434	0.9761	0.7747	0.8638	0.5407	0.9350	0.6852	0.3518	0.7276	0.4743	0.4913	0.8516	0.6231	0.7923	0.5900	0.8222	0.6616	0.8752	0.7923	0.8135
0.2627	17.0	1139	0.6766	0.9729	0.7939	0.8743	0.5558	0.9350	0.6972	0.3577	0.7204	0.4780	0.5313	0.8387	0.6505	0.8063	0.6044	0.8220	0.6750	0.8772	0.8063	0.8251
0.2627	18.0	1206	0.7459	0.9672	0.8159	0.8851	0.5644	0.9260	0.7013	0.3752	0.6953	0.4874	0.5762	0.8215	0.6773	0.8206	0.6207	0.8147	0.6878	0.8774	0.8206	0.8364
0.2627	19.0	1273	0.7824	0.9682	0.8301	0.8938	0.5644	0.9332	0.7034	0.3808	0.7097	0.4956	0.6364	0.7978	0.7080	0.8314	0.6374	0.8177	0.7002	0.8829	0.8314	0.8461
0.2627	20.0	1340	0.7763	0.9667	0.8261	0.8909	0.5615	0.9314	0.7006	0.3845	0.6918	0.4942	0.6127	0.8065	0.6964	0.8280	0.6313	0.8139	0.6955	0.8799	0.8280	0.8427
0.2627	21.0	1407	0.7584	0.9694	0.8155	0.8858	0.5683	0.9242	0.7038	0.3736	0.7312	0.4945	0.5826	0.8194	0.6810	0.8215	0.6235	0.8225	0.6913	0.8800	0.8215	0.8378
0.2627	22.0	1474	0.8247	0.9684	0.8232	0.8899	0.5617	0.9278	0.6998	0.3886	0.7061	0.5013	0.5962	0.8129	0.6879	0.8264	0.6287	0.8175	0.6947	0.8802	0.8264	0.8415
0.1736	23.0	1541	0.7862	0.9692	0.8163	0.8862	0.5709	0.9224	0.7053	0.3704	0.7168	0.4884	0.5794	0.8237	0.6803	0.8217	0.6225	0.8198	0.6900	0.8797	0.8217	0.8379
0.1736	24.0	1608	0.9049	0.9655	0.8356	0.8959	0.5781	0.9224	0.7107	0.3987	0.6774	0.5020	0.6097	0.8129	0.6968	0.8346	0.6380	0.8121	0.7013	0.8808	0.8346	0.8479
0.1736	25.0	1675	0.9058	0.9677	0.8293	0.8932	0.5872	0.9242	0.7181	0.3962	0.6703	0.4980	0.5672	0.8258	0.6725	0.8303	0.6296	0.8124	0.6954	0.8801	0.8303	0.8444
0.1736	26.0	1742	0.9049	0.9667	0.8258	0.8907	0.5548	0.9314	0.6954	0.384	0.6882	0.4929	0.6215	0.8086	0.7028	0.8277	0.6317	0.8135	0.6955	0.8799	0.8277	0.8424
0.1736	27.0	1809	1.0230	0.9629	0.8477	0.9017	0.584	0.9224	0.7152	0.4114	0.6487	0.5035	0.6361	0.8043	0.7104	0.8423	0.6486	0.8058	0.7077	0.8818	0.8423	0.8539
0.1736	28.0	1876	0.9487	0.9654	0.8398	0.8982	0.5746	0.9242	0.7087	0.4043	0.6667	0.5034	0.6231	0.8108	0.7047	0.8374	0.6419	0.8104	0.7037	0.8817	0.8374	0.8502
0.1736	29.0	1943	0.9729	0.9661	0.8347	0.8956	0.5805	0.9242	0.7131	0.4021	0.6774	0.5047	0.5978	0.8151	0.6897	0.8341	0.6366	0.8128	0.7008	0.8808	0.8341	0.8474
0.1305	30.0	2010	1.0135	0.9636	0.8487	0.9025	0.5939	0.9188	0.7215	0.4102	0.6631	0.5068	0.6324	0.8065	0.7089	0.8436	0.6500	0.8093	0.7099	0.8828	0.8436	0.8552
0.1305	31.0	2077	1.0109	0.9618	0.8455	0.8999	0.5670	0.9242	0.7028	0.4184	0.6523	0.5098	0.6462	0.7935	0.7124	0.8401	0.6483	0.8039	0.7062	0.8804	0.8401	0.8519
0.1305	32.0	2144	1.0659	0.9627	0.8517	0.9038	0.5995	0.9134	0.7239	0.4201	0.6595	0.5132	0.6210	0.8	0.6992	0.8448	0.6508	0.8061	0.7100	0.8822	0.8448	0.8560
0.1305	33.0	2211	1.0779	0.9600	0.8554	0.9047	0.6002	0.9079	0.7227	0.4293	0.6416	0.5144	0.6229	0.7957	0.6988	0.8462	0.6531	0.8002	0.7101	0.8807	0.8462	0.8566
0.1305	34.0	2278	1.2438	0.9552	0.8732	0.9124	0.6053	0.9079	0.7264	0.4898	0.6022	0.5402	0.6505	0.7806	0.7097	0.8576	0.6752	0.7910	0.7222	0.8820	0.8576	0.8650
0.1305	35.0	2345	1.1222	0.9609	0.8602	0.9077	0.5955	0.9116	0.7204	0.4312	0.6631	0.5226	0.6588	0.7806	0.7146	0.8502	0.6616	0.8039	0.7163	0.8837	0.8502	0.8604
0.1305	36.0	2412	1.2303	0.9577	0.8687	0.9110	0.5946	0.9188	0.7220	0.4699	0.6165	0.5333	0.6648	0.7806	0.7181	0.8555	0.6718	0.7961	0.7211	0.8832	0.8555	0.8638
0.1305	37.0	2479	1.1387	0.9603	0.8507	0.9021	0.5886	0.9116	0.7153	0.4189	0.6667	0.5145	0.6353	0.7828	0.7013	0.8429	0.6508	0.8029	0.7083	0.8803	0.8429	0.8541
0.1036	38.0	2546	1.2204	0.9585	0.8623	0.9079	0.5988	0.9025	0.7199	0.4458	0.6344	0.5237	0.6387	0.7871	0.7052	0.8503	0.6605	0.7966	0.7142	0.8812	0.8503	0.8598
0.1036	39.0	2613	1.2219	0.9594	0.8594	0.9066	0.5950	0.9097	0.7195	0.4512	0.6129	0.5198	0.6210	0.8	0.6992	0.8486	0.6567	0.7955	0.7113	0.8805	0.8486	0.8581
0.1036	40.0	2680	1.2658	0.9567	0.8691	0.9108	0.5948	0.9061	0.7182	0.4534	0.6272	0.5263	0.6761	0.7720	0.7209	0.8546	0.6702	0.7936	0.7190	0.8825	0.8546	0.8632
0.1036	41.0	2747	1.1926	0.9607	0.8560	0.9053	0.6017	0.9079	0.7237	0.4180	0.6487	0.5084	0.6397	0.7978	0.7100	0.8472	0.6550	0.8026	0.7119	0.8821	0.8472	0.8578
0.1036	42.0	2814	1.2121	0.9590	0.8602	0.9069	0.5986	0.8989	0.7186	0.4414	0.6344	0.5206	0.6314	0.7957	0.7041	0.8489	0.6576	0.7973	0.7125	0.8809	0.8489	0.8587
0.1036	43.0	2881	1.2253	0.9597	0.8572	0.9056	0.5899	0.9061	0.7146	0.4490	0.6308	0.5246	0.6252	0.8	0.7019	0.8473	0.6559	0.7985	0.7117	0.8806	0.8473	0.8573
0.1036	44.0	2948	1.2930	0.9572	0.8705	0.9117	0.6098	0.8971	0.7261	0.4534	0.6272	0.5263	0.6595	0.7871	0.7176	0.8560	0.6699	0.7955	0.7204	0.8830	0.8560	0.8644
0.0887	45.0	3015	1.2525	0.9584	0.8612	0.9072	0.5969	0.9116	0.7214	0.4456	0.6308	0.5223	0.6386	0.7828	0.7034	0.8497	0.6599	0.7966	0.7136	0.8810	0.8497	0.8592
0.0887	46.0	3082	1.3334	0.9556	0.8720	0.9119	0.6014	0.9043	0.7224	0.4751	0.6165	0.5367	0.6606	0.7742	0.7129	0.8565	0.6732	0.7918	0.7210	0.8820	0.8565	0.8643
0.0887	47.0	3149	1.3047	0.9584	0.8667	0.9103	0.6031	0.9025	0.7231	0.4490	0.6308	0.5246	0.6542	0.7892	0.7154	0.8538	0.6662	0.7973	0.7183	0.8828	0.8538	0.8627
0.0887	48.0	3216	1.3094	0.9581	0.8677	0.9106	0.6022	0.9043	0.7229	0.4492	0.6344	0.5260	0.6594	0.7785	0.7140	0.8541	0.6672	0.7962	0.7184	0.8828	0.8541	0.8630
0.0887	49.0	3283	1.3583	0.9574	0.8712	0.9123	0.6121	0.8971	0.7277	0.4504	0.6344	0.5268	0.6624	0.7806	0.7167	0.8565	0.6706	0.7959	0.7209	0.8834	0.8565	0.8650
0.0887	50.0	3350	1.3429	0.9579	0.8643	0.9087	0.6105	0.9025	0.7283	0.4447	0.6344	0.5229	0.6330	0.7828	0.7000	0.8516	0.6615	0.7960	0.7150	0.8813	0.8516	0.8608
0.0887	51.0	3417	1.3133	0.9598	0.8633	0.9090	0.6043	0.9097	0.7262	0.4403	0.6344	0.5198	0.6421	0.7871	0.7072	0.8517	0.6616	0.7986	0.7156	0.8827	0.8517	0.8612
0.0887	52.0	3484	1.3570	0.9562	0.8722	0.9123	0.6116	0.8953	0.7267	0.4531	0.6237	0.5249	0.6600	0.7763	0.7134	0.8563	0.6702	0.7919	0.7193	0.8824	0.8563	0.8645
0.0787	53.0	3551	1.4055	0.9560	0.8768	0.9147	0.6091	0.8971	0.7255	0.4822	0.6308	0.5466	0.6716	0.7742	0.7193	0.8602	0.6797	0.7947	0.7265	0.8841	0.8602	0.8677
0.0787	54.0	3618	1.3776	0.9576	0.8718	0.9127	0.6148	0.8989	0.7302	0.4571	0.6308	0.5301	0.6565	0.7849	0.7150	0.8573	0.6715	0.7966	0.7220	0.8837	0.8573	0.8655
0.0787	55.0	3685	1.3579	0.9590	0.8655	0.9099	0.6065	0.9043	0.7261	0.4552	0.6380	0.5313	0.6376	0.7871	0.7045	0.8532	0.6646	0.7987	0.7180	0.8826	0.8532	0.8622
0.0787	56.0	3752	1.4072	0.9563	0.8746	0.9136	0.6151	0.8971	0.7298	0.4684	0.6380	0.5402	0.6661	0.7763	0.7170	0.8590	0.6765	0.7965	0.7252	0.8839	0.8590	0.8668
0.0787	57.0	3819	1.3831	0.9570	0.8718	0.9124	0.6141	0.8989	0.7297	0.4524	0.6308	0.5269	0.6606	0.7785	0.7147	0.8568	0.6710	0.7950	0.7209	0.8833	0.8568	0.8651
0.0787	58.0	3886	1.4017	0.9565	0.8734	0.9131	0.6159	0.8971	0.7303	0.4607	0.6308	0.5325	0.6588	0.7763	0.7127	0.8577	0.6730	0.7944	0.7222	0.8832	0.8577	0.8658
0.0787	59.0	3953	1.3982	0.9564	0.8728	0.9127	0.6133	0.8989	0.7291	0.4630	0.6272	0.5327	0.6582	0.7785	0.7133	0.8574	0.6727	0.7944	0.7220	0.8830	0.8574	0.8654
0.0739	60.0	4020	1.4074	0.9557	0.8738	0.9129	0.6128	0.8971	0.7282	0.4667	0.6272	0.5352	0.6606	0.7742	0.7129	0.8577	0.6739	0.7931	0.7223	0.8827	0.8577	0.8656

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

antoineedy-old/distilgpt2-finetuned-ner

distilgpt2-finetuned-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

antoineedy-old/
distilgpt2-finetuned-ner