clinico-finetuned

joheras/clinico-finetuned

clinico-finetuned is a token classification model from joheras. Use it when you need labels on individual words, such as names. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
Model type: distilbert
Access: Public
Created: Mar 16, 2023
Updated: Mar 16, 2023
SHA: ccf1c55c

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Model card

From the Hugging Face model README

clinico-finetuned

This model is a fine-tuned version of joheras/distilbert-base-spanish-uncased-finetuned-clinais on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0536
Precision: 0.3004
Recall: 0.51
F1: 0.3781
Accuracy: 0.8204

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: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 300

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	7	1.7885	0.0	0.0	0.0	0.4841
No log	2.0	14	1.5381	0.0040	0.0022	0.0028	0.4924
No log	3.0	21	1.4049	0.0017	0.0022	0.0020	0.5517
No log	4.0	28	1.2835	0.0027	0.0033	0.0030	0.5542
No log	5.0	35	1.1609	0.0057	0.0156	0.0083	0.6069
No log	6.0	42	1.0795	0.0112	0.0267	0.0158	0.6350
No log	7.0	49	1.0056	0.0193	0.0433	0.0267	0.6615
No log	8.0	56	1.0315	0.0192	0.0511	0.0279	0.6505
No log	9.0	63	1.0341	0.0297	0.0522	0.0379	0.6610
No log	10.0	70	0.9341	0.0264	0.0567	0.0360	0.6902
No log	11.0	77	0.9192	0.0302	0.0678	0.0418	0.7034
No log	12.0	84	0.8875	0.0422	0.0889	0.0572	0.7109
No log	13.0	91	0.8691	0.0493	0.0978	0.0655	0.7252
No log	14.0	98	0.8442	0.0589	0.12	0.0790	0.7403
No log	15.0	105	0.8077	0.0676	0.1344	0.0899	0.7508
No log	16.0	112	0.7901	0.0701	0.1356	0.0924	0.7548
No log	17.0	119	0.7780	0.0738	0.1444	0.0977	0.7570
No log	18.0	126	0.7623	0.0849	0.1578	0.1104	0.7620
No log	19.0	133	0.7495	0.1003	0.1911	0.1315	0.7682
No log	20.0	140	0.7488	0.0995	0.1789	0.1279	0.7743
No log	21.0	147	0.7383	0.1038	0.1967	0.1358	0.7756
No log	22.0	154	0.7212	0.1221	0.2156	0.1559	0.7831
No log	23.0	161	0.7213	0.1121	0.2156	0.1475	0.7789
No log	24.0	168	0.7220	0.1195	0.2211	0.1552	0.7814
No log	25.0	175	0.7285	0.1219	0.2267	0.1586	0.7813
No log	26.0	182	0.7092	0.1307	0.2456	0.1706	0.7842
No log	27.0	189	0.6979	0.1192	0.2211	0.1549	0.7850
No log	28.0	196	0.6992	0.1517	0.2733	0.1951	0.7853
No log	29.0	203	0.6944	0.1365	0.2522	0.1771	0.7873
No log	30.0	210	0.7098	0.1458	0.2667	0.1885	0.7886
No log	31.0	217	0.6829	0.1537	0.2844	0.1995	0.7901
No log	32.0	224	0.7010	0.1696	0.3167	0.2209	0.7931
No log	33.0	231	0.7338	0.1424	0.2678	0.1859	0.7815
No log	34.0	238	0.6988	0.1568	0.3	0.2059	0.7917
No log	35.0	245	0.7062	0.1667	0.3256	0.2205	0.7915
No log	36.0	252	0.7004	0.1674	0.3311	0.2224	0.7980
No log	37.0	259	0.7002	0.1632	0.3256	0.2174	0.7962
No log	38.0	266	0.7284	0.1736	0.3333	0.2283	0.7973
No log	39.0	273	0.7160	0.1828	0.3322	0.2358	0.8010
No log	40.0	280	0.7480	0.1810	0.33	0.2338	0.7919
No log	41.0	287	0.7030	0.1747	0.3456	0.2321	0.7975
No log	42.0	294	0.7211	0.1840	0.3633	0.2443	0.7985
No log	43.0	301	0.7400	0.1965	0.3522	0.2523	0.7989
No log	44.0	308	0.6821	0.1926	0.3578	0.2504	0.8072
No log	45.0	315	0.6933	0.2011	0.3711	0.2608	0.8045
No log	46.0	322	0.6924	0.2046	0.3778	0.2654	0.8076
No log	47.0	329	0.6904	0.1925	0.3789	0.2553	0.8088
No log	48.0	336	0.7049	0.2097	0.3833	0.2711	0.8085
No log	49.0	343	0.7082	0.2079	0.3867	0.2704	0.8109
No log	50.0	350	0.7102	0.2111	0.4	0.2764	0.8081
No log	51.0	357	0.7374	0.1949	0.3911	0.2602	0.8029
No log	52.0	364	0.7209	0.2099	0.4	0.2753	0.8091
No log	53.0	371	0.7498	0.2236	0.41	0.2894	0.8064
No log	54.0	378	0.7212	0.2265	0.4156	0.2932	0.8117
No log	55.0	385	0.7211	0.2160	0.4022	0.2811	0.8096
No log	56.0	392	0.7298	0.2112	0.4122	0.2793	0.8076
No log	57.0	399	0.7362	0.2288	0.4144	0.2949	0.8098
No log	58.0	406	0.7376	0.2287	0.4333	0.2994	0.8114
No log	59.0	413	0.7383	0.2252	0.4189	0.2929	0.8109
No log	60.0	420	0.7445	0.2236	0.4278	0.2937	0.8124
No log	61.0	427	0.7460	0.2369	0.4267	0.3046	0.8126
No log	62.0	434	0.7735	0.2158	0.4133	0.2835	0.8053
No log	63.0	441	0.7543	0.2351	0.4344	0.3051	0.8115
No log	64.0	448	0.7608	0.2248	0.4311	0.2955	0.8046
No log	65.0	455	0.7717	0.2385	0.4567	0.3134	0.8104
No log	66.0	462	0.7812	0.2357	0.45	0.3094	0.8095
No log	67.0	469	0.7591	0.2438	0.4556	0.3176	0.8140
No log	68.0	476	0.7700	0.2398	0.4489	0.3126	0.8122
No log	69.0	483	0.7654	0.2555	0.4544	0.3271	0.8149
No log	70.0	490	0.7804	0.2348	0.4433	0.3070	0.8103
No log	71.0	497	0.7717	0.2517	0.4622	0.3259	0.8141
0.5194	72.0	504	0.7961	0.2451	0.4444	0.3160	0.8134
0.5194	73.0	511	0.7889	0.2412	0.4511	0.3144	0.8149
0.5194	74.0	518	0.7869	0.2486	0.4522	0.3209	0.8145
0.5194	75.0	525	0.8159	0.2261	0.4433	0.2994	0.8081
0.5194	76.0	532	0.8187	0.2404	0.4589	0.3155	0.8102
0.5194	77.0	539	0.8286	0.2377	0.4522	0.3116	0.8097
0.5194	78.0	546	0.8250	0.2456	0.4489	0.3175	0.8109
0.5194	79.0	553	0.8124	0.2356	0.44	0.3069	0.8115
0.5194	80.0	560	0.8259	0.2405	0.4489	0.3132	0.8118
0.5194	81.0	567	0.8361	0.2448	0.4489	0.3169	0.8109
0.5194	82.0	574	0.8363	0.2425	0.4467	0.3143	0.8108
0.5194	83.0	581	0.8129	0.2470	0.4544	0.3200	0.8145
0.5194	84.0	588	0.8117	0.2564	0.4533	0.3276	0.8154
0.5194	85.0	595	0.8218	0.2527	0.4622	0.3268	0.8146
0.5194	86.0	602	0.8242	0.2530	0.4644	0.3276	0.8145
0.5194	87.0	609	0.8333	0.2503	0.46	0.3242	0.8135
0.5194	88.0	616	0.8256	0.2486	0.4589	0.3225	0.8144
0.5194	89.0	623	0.8293	0.2438	0.4578	0.3181	0.8136
0.5194	90.0	630	0.8093	0.2485	0.4678	0.3246	0.8195
0.5194	91.0	637	0.8267	0.2545	0.46	0.3277	0.8153
0.5194	92.0	644	0.8331	0.2543	0.4589	0.3273	0.8177
0.5194	93.0	651	0.8397	0.2569	0.4656	0.3311	0.8155
0.5194	94.0	658	0.8320	0.2555	0.4656	0.3299	0.8161
0.5194	95.0	665	0.8507	0.2424	0.4622	0.3180	0.8124
0.5194	96.0	672	0.8698	0.2564	0.4689	0.3315	0.8102
0.5194	97.0	679	0.8610	0.2481	0.46	0.3223	0.8154
0.5194	98.0	686	0.8573	0.2505	0.4556	0.3232	0.8120
0.5194	99.0	693	0.8492	0.2657	0.4667	0.3386	0.8163
0.5194	100.0	700	0.8765	0.2490	0.4689	0.3252	0.8127
0.5194	101.0	707	0.8682	0.2707	0.4767	0.3453	0.8124
0.5194	102.0	714	0.8709	0.2527	0.4722	0.3292	0.8151
0.5194	103.0	721	0.8683	0.2665	0.4744	0.3413	0.8148
0.5194	104.0	728	0.8675	0.2609	0.4767	0.3373	0.8156
0.5194	105.0	735	0.8953	0.2595	0.47	0.3344	0.8119
0.5194	106.0	742	0.8721	0.2740	0.4878	0.3509	0.8162
0.5194	107.0	749	0.8570	0.2716	0.4744	0.3455	0.8167
0.5194	108.0	756	0.8881	0.2584	0.4767	0.3352	0.8137
0.5194	109.0	763	0.8855	0.2693	0.4889	0.3473	0.8165
0.5194	110.0	770	0.8825	0.2539	0.4856	0.3335	0.8166
0.5194	111.0	777	0.8755	0.2581	0.4789	0.3354	0.8140
0.5194	112.0	784	0.8841	0.2719	0.48	0.3471	0.8154
0.5194	113.0	791	0.8766	0.2691	0.4856	0.3463	0.8165
0.5194	114.0	798	0.8856	0.2679	0.4856	0.3453	0.8171
0.5194	115.0	805	0.9099	0.2710	0.48	0.3464	0.8159
0.5194	116.0	812	0.9588	0.2712	0.4789	0.3463	0.8090
0.5194	117.0	819	0.8902	0.2746	0.4933	0.3528	0.8182
0.5194	118.0	826	0.8917	0.2762	0.4911	0.3536	0.8173
0.5194	119.0	833	0.8984	0.2853	0.5011	0.3636	0.8173
0.5194	120.0	840	0.9035	0.2810	0.5056	0.3613	0.8175
0.5194	121.0	847	0.9249	0.2778	0.4856	0.3534	0.8145
0.5194	122.0	854	0.9149	0.2728	0.4844	0.3491	0.8159
0.5194	123.0	861	0.9365	0.2687	0.4822	0.3451	0.8122
0.5194	124.0	868	0.9182	0.2762	0.4867	0.3524	0.8156
0.5194	125.0	875	0.9079	0.2747	0.4967	0.3538	0.8165
0.5194	126.0	882	0.9159	0.2814	0.5033	0.3610	0.8198
0.5194	127.0	889	0.9025	0.2685	0.4989	0.3491	0.8196
0.5194	128.0	896	0.9401	0.2795	0.4967	0.3577	0.8163
0.5194	129.0	903	0.9396	0.2832	0.4856	0.3578	0.8171
0.5194	130.0	910	0.9067	0.2784	0.4933	0.3559	0.8211
0.5194	131.0	917	0.9288	0.2747	0.4844	0.3506	0.8166
0.5194	132.0	924	0.9287	0.2829	0.49	0.3587	0.8177
0.5194	133.0	931	0.9286	0.2809	0.4978	0.3591	0.8151
0.5194	134.0	938	0.9223	0.2874	0.4911	0.3626	0.8162
0.5194	135.0	945	0.9228	0.2876	0.5078	0.3672	0.8191
0.5194	136.0	952	0.9307	0.2829	0.4989	0.3611	0.8201
0.5194	137.0	959	0.9281	0.2799	0.4911	0.3566	0.8183
0.5194	138.0	966	0.9308	0.2821	0.5022	0.3613	0.8193
0.5194	139.0	973	0.9601	0.2846	0.5056	0.3641	0.8160
0.5194	140.0	980	0.9596	0.2745	0.4856	0.3507	0.8159
0.5194	141.0	987	0.9374	0.2976	0.49	0.3703	0.8195
0.5194	142.0	994	0.9455	0.2829	0.5033	0.3623	0.8193
0.0657	143.0	1001	0.9550	0.2845	0.5	0.3626	0.8182
0.0657	144.0	1008	0.9407	0.2873	0.4944	0.3634	0.8217
0.0657	145.0	1015	0.9361	0.2940	0.5011	0.3706	0.8220
0.0657	146.0	1022	0.9582	0.2865	0.4967	0.3634	0.8206
0.0657	147.0	1029	0.9522	0.2910	0.5067	0.3697	0.8196
0.0657	148.0	1036	0.9473	0.2828	0.4889	0.3583	0.8188
0.0657	149.0	1043	0.9520	0.2884	0.5044	0.3670	0.8199
0.0657	150.0	1050	0.9561	0.2814	0.4956	0.3590	0.8193
0.0657	151.0	1057	0.9531	0.2851	0.4967	0.3622	0.8198
0.0657	152.0	1064	0.9699	0.2984	0.5067	0.3756	0.8182
0.0657	153.0	1071	0.9407	0.2829	0.5067	0.3631	0.8215
0.0657	154.0	1078	0.9598	0.2879	0.5022	0.3660	0.8194
0.0657	155.0	1085	0.9807	0.2869	0.4944	0.3631	0.8161
0.0657	156.0	1092	0.9843	0.2790	0.4967	0.3573	0.8163
0.0657	157.0	1099	0.9526	0.2812	0.4989	0.3596	0.8203
0.0657	158.0	1106	0.9488	0.2820	0.5122	0.3637	0.8202
0.0657	159.0	1113	0.9765	0.2840	0.49	0.3596	0.8173
0.0657	160.0	1120	0.9853	0.2866	0.4978	0.3638	0.8167
0.0657	161.0	1127	0.9693	0.2900	0.5033	0.3680	0.8189
0.0657	162.0	1134	0.9761	0.2789	0.4911	0.3557	0.8163
0.0657	163.0	1141	0.9577	0.2936	0.5011	0.3703	0.8196
0.0657	164.0	1148	0.9707	0.2817	0.4989	0.3601	0.8194
0.0657	165.0	1155	0.9672	0.2889	0.5033	0.3671	0.8192
0.0657	166.0	1162	0.9628	0.2911	0.5056	0.3695	0.8198
0.0657	167.0	1169	0.9803	0.2812	0.5078	0.3620	0.8195
0.0657	168.0	1176	0.9813	0.2801	0.4911	0.3567	0.8189
0.0657	169.0	1183	0.9778	0.2820	0.4967	0.3598	0.8192
0.0657	170.0	1190	0.9679	0.2854	0.5033	0.3643	0.8198
0.0657	171.0	1197	0.9780	0.2915	0.5111	0.3713	0.8176
0.0657	172.0	1204	0.9651	0.2964	0.5144	0.3761	0.8219
0.0657	173.0	1211	0.9895	0.2834	0.4967	0.3609	0.8198
0.0657	174.0	1218	0.9579	0.2928	0.5089	0.3718	0.8247
0.0657	175.0	1225	0.9886	0.2890	0.4978	0.3657	0.8181
0.0657	176.0	1232	0.9827	0.2855	0.4933	0.3617	0.8174
0.0657	177.0	1239	0.9709	0.2834	0.4944	0.3603	0.8208
0.0657	178.0	1246	0.9850	0.2856	0.4967	0.3627	0.8200
0.0657	179.0	1253	0.9991	0.2898	0.49	0.3642	0.8163
0.0657	180.0	1260	0.9882	0.2925	0.4956	0.3678	0.8191
0.0657	181.0	1267	0.9835	0.2979	0.51	0.3761	0.8190
0.0657	182.0	1274	1.0037	0.2903	0.4967	0.3664	0.8145
0.0657	183.0	1281	0.9901	0.2974	0.5056	0.3745	0.8163
0.0657	184.0	1288	0.9907	0.2945	0.5089	0.3731	0.8191
0.0657	185.0	1295	0.9965	0.2874	0.51	0.3676	0.8199
0.0657	186.0	1302	1.0017	0.3037	0.5078	0.3800	0.8196
0.0657	187.0	1309	0.9866	0.2978	0.5156	0.3775	0.8221
0.0657	188.0	1316	1.0039	0.2947	0.4944	0.3693	0.8181
0.0657	189.0	1323	0.9885	0.2953	0.5122	0.3746	0.8202
0.0657	190.0	1330	1.0066	0.2876	0.4989	0.3649	0.8196
0.0657	191.0	1337	0.9938	0.2953	0.5056	0.3728	0.8209
0.0657	192.0	1344	0.9948	0.2989	0.5022	0.3748	0.8210
0.0657	193.0	1351	0.9947	0.3004	0.5067	0.3772	0.8212
0.0657	194.0	1358	1.0037	0.2956	0.5022	0.3722	0.8194
0.0657	195.0	1365	1.0220	0.2948	0.5022	0.3716	0.8160
0.0657	196.0	1372	1.0186	0.2963	0.4944	0.3705	0.8165
0.0657	197.0	1379	1.0148	0.2917	0.5056	0.3699	0.8213
0.0657	198.0	1386	1.0094	0.2944	0.5011	0.3709	0.8190
0.0657	199.0	1393	1.0160	0.2901	0.4989	0.3668	0.8201
0.0657	200.0	1400	1.0112	0.3043	0.5056	0.3800	0.8189
0.0657	201.0	1407	1.0158	0.2968	0.5056	0.3740	0.8188
0.0657	202.0	1414	1.0035	0.2895	0.5089	0.3691	0.8213
0.0657	203.0	1421	1.0105	0.2888	0.5	0.3662	0.8187
0.0657	204.0	1428	1.0127	0.2933	0.5022	0.3703	0.8191
0.0657	205.0	1435	1.0176	0.2960	0.5056	0.3734	0.8202
0.0657	206.0	1442	1.0181	0.2951	0.5033	0.3721	0.8185
0.0657	207.0	1449	1.0131	0.3040	0.51	0.3809	0.8219
0.0657	208.0	1456	1.0256	0.2954	0.4989	0.3711	0.8174
0.0657	209.0	1463	1.0064	0.3005	0.5044	0.3766	0.8219
0.0657	210.0	1470	1.0193	0.2919	0.4978	0.3680	0.8191
0.0657	211.0	1477	1.0085	0.2968	0.5122	0.3759	0.8221
0.0657	212.0	1484	1.0138	0.2977	0.5111	0.3763	0.8207
0.0657	213.0	1491	1.0196	0.2963	0.51	0.3748	0.8206
0.0657	214.0	1498	1.0138	0.3062	0.5189	0.3852	0.8208
0.0233	215.0	1505	1.0171	0.2995	0.5078	0.3768	0.8217
0.0233	216.0	1512	1.0243	0.2989	0.5022	0.3748	0.8190
0.0233	217.0	1519	1.0273	0.2996	0.51	0.3775	0.8199
0.0233	218.0	1526	1.0419	0.2917	0.4956	0.3672	0.8189
0.0233	219.0	1533	1.0361	0.2921	0.5089	0.3712	0.8208
0.0233	220.0	1540	1.0353	0.3059	0.4989	0.3792	0.8175
0.0233	221.0	1547	1.0399	0.2904	0.4967	0.3665	0.8189
0.0233	222.0	1554	1.0300	0.2967	0.5033	0.3733	0.8172
0.0233	223.0	1561	1.0406	0.2917	0.4978	0.3678	0.8172
0.0233	224.0	1568	1.0397	0.2959	0.5033	0.3727	0.8154
0.0233	225.0	1575	1.0303	0.2915	0.5056	0.3698	0.8183
0.0233	226.0	1582	1.0503	0.2916	0.4989	0.3680	0.8164
0.0233	227.0	1589	1.0304	0.2968	0.5078	0.3746	0.8193
0.0233	228.0	1596	1.0411	0.3026	0.5067	0.3789	0.8176
0.0233	229.0	1603	1.0476	0.2884	0.5044	0.3670	0.8181
0.0233	230.0	1610	1.0561	0.2940	0.4922	0.3681	0.8171
0.0233	231.0	1617	1.0396	0.2909	0.5022	0.3684	0.8177
0.0233	232.0	1624	1.0424	0.2916	0.51	0.3711	0.8187
0.0233	233.0	1631	1.0470	0.2977	0.5078	0.3754	0.8191
0.0233	234.0	1638	1.0371	0.2985	0.5111	0.3769	0.8206
0.0233	235.0	1645	1.0318	0.2997	0.5111	0.3778	0.8211
0.0233	236.0	1652	1.0325	0.2943	0.5089	0.3730	0.8186
0.0233	237.0	1659	1.0300	0.2972	0.5122	0.3762	0.8194
0.0233	238.0	1666	1.0409	0.2935	0.51	0.3726	0.8186
0.0233	239.0	1673	1.0385	0.2940	0.51	0.3730	0.8181
0.0233	240.0	1680	1.0452	0.2965	0.5122	0.3756	0.8186
0.0233	241.0	1687	1.0480	0.2997	0.5144	0.3787	0.8194
0.0233	242.0	1694	1.0403	0.2935	0.5056	0.3714	0.8193
0.0233	243.0	1701	1.0357	0.3007	0.5156	0.3799	0.8209
0.0233	244.0	1708	1.0501	0.2911	0.51	0.3706	0.8182
0.0233	245.0	1715	1.0516	0.2954	0.5022	0.3720	0.8182
0.0233	246.0	1722	1.0315	0.3041	0.5133	0.3820	0.8203
0.0233	247.0	1729	1.0452	0.2959	0.5033	0.3727	0.8184
0.0233	248.0	1736	1.0485	0.2951	0.5056	0.3726	0.8187
0.0233	249.0	1743	1.0380	0.2977	0.5144	0.3772	0.8205
0.0233	250.0	1750	1.0420	0.2939	0.5056	0.3717	0.8195
0.0233	251.0	1757	1.0489	0.2966	0.5056	0.3739	0.8192
0.0233	252.0	1764	1.0420	0.2984	0.51	0.3765	0.8193
0.0233	253.0	1771	1.0538	0.2882	0.4989	0.3653	0.8161
0.0233	254.0	1778	1.0487	0.2977	0.5078	0.3754	0.8200
0.0233	255.0	1785	1.0461	0.2995	0.5078	0.3768	0.8206
0.0233	256.0	1792	1.0519	0.2925	0.5067	0.3709	0.8193
0.0233	257.0	1799	1.0625	0.2866	0.4978	0.3638	0.8170
0.0233	258.0	1806	1.0469	0.2946	0.5044	0.3720	0.8174
0.0233	259.0	1813	1.0497	0.2943	0.5078	0.3726	0.8202
0.0233	260.0	1820	1.0584	0.2934	0.5067	0.3716	0.8184
0.0233	261.0	1827	1.0540	0.2947	0.5	0.3708	0.8187
0.0233	262.0	1834	1.0454	0.2979	0.5078	0.3755	0.8201
0.0233	263.0	1841	1.0444	0.3001	0.5122	0.3785	0.8201
0.0233	264.0	1848	1.0506	0.2898	0.5056	0.3684	0.8209
0.0233	265.0	1855	1.0494	0.2952	0.5044	0.3724	0.8215
0.0233	266.0	1862	1.0406	0.2972	0.5111	0.3758	0.8223
0.0233	267.0	1869	1.0539	0.2958	0.5044	0.3729	0.8197
0.0233	268.0	1876	1.0583	0.2968	0.5111	0.3755	0.8200
0.0233	269.0	1883	1.0567	0.3002	0.51	0.3779	0.8197
0.0233	270.0	1890	1.0566	0.3014	0.5133	0.3798	0.8190
0.0233	271.0	1897	1.0604	0.2992	0.5156	0.3786	0.8187
0.0233	272.0	1904	1.0593	0.2966	0.5111	0.3754	0.8183
0.0233	273.0	1911	1.0566	0.3017	0.5122	0.3797	0.8194
0.0233	274.0	1918	1.0575	0.3025	0.5156	0.3813	0.8202
0.0233	275.0	1925	1.0553	0.3001	0.5211	0.3808	0.8211
0.0233	276.0	1932	1.0546	0.2975	0.5133	0.3767	0.8208
0.0233	277.0	1939	1.0498	0.3001	0.5122	0.3785	0.8216
0.0233	278.0	1946	1.0502	0.3012	0.5144	0.3800	0.8213
0.0233	279.0	1953	1.0504	0.3015	0.5156	0.3805	0.8211
0.0233	280.0	1960	1.0517	0.2977	0.5078	0.3754	0.8207
0.0233	281.0	1967	1.0495	0.3016	0.5133	0.3799	0.8212
0.0233	282.0	1974	1.0519	0.2966	0.5167	0.3768	0.8205
0.0233	283.0	1981	1.0528	0.2960	0.5133	0.3755	0.8207
0.0233	284.0	1988	1.0523	0.2987	0.5111	0.3770	0.8202
0.0233	285.0	1995	1.0499	0.2995	0.5089	0.3771	0.8205
0.0143	286.0	2002	1.0481	0.2982	0.51	0.3764	0.8208
0.0143	287.0	2009	1.0484	0.3024	0.5144	0.3809	0.8212
0.0143	288.0	2016	1.0497	0.3006	0.5167	0.3801	0.8213
0.0143	289.0	2023	1.0501	0.2999	0.5156	0.3792	0.8210
0.0143	290.0	2030	1.0520	0.3005	0.5111	0.3784	0.8206
0.0143	291.0	2037	1.0553	0.2988	0.5089	0.3765	0.8206
0.0143	292.0	2044	1.0567	0.2999	0.5122	0.3783	0.8207
0.0143	293.0	2051	1.0549	0.3012	0.5111	0.3791	0.8208
0.0143	294.0	2058	1.0525	0.2970	0.5144	0.3766	0.8205
0.0143	295.0	2065	1.0525	0.2958	0.5133	0.3753	0.8206
0.0143	296.0	2072	1.0533	0.3002	0.5133	0.3788	0.8206
0.0143	297.0	2079	1.0537	0.3017	0.5122	0.3797	0.8206
0.0143	298.0	2086	1.0538	0.2996	0.51	0.3775	0.8204
0.0143	299.0	2093	1.0537	0.3008	0.51	0.3784	0.8205
0.0143	300.0	2100	1.0536	0.3004	0.51	0.3781	0.8204

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.0
Datasets 2.8.0
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: distilbert
Created: Mar 16, 2023
Updated: Mar 16, 2023