clinico

joheras/clinico

clinico 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 11, 2023
Updated: Mar 11, 2023
SHA: cb7cc234

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Model card

From the Hugging Face model README

clinico

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

Loss: 1.0583
Precision: 0.3056
Recall: 0.5189
F1: 0.3847
Accuracy: 0.8225

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	1.7011	0.0	0.0	0.0	0.4843
No log	2.0	14	1.5037	0.0294	0.0233	0.0260	0.5066
No log	3.0	21	1.3824	0.0027	0.0033	0.0030	0.5507
No log	4.0	28	1.3015	0.0012	0.0011	0.0011	0.5550
No log	5.0	35	1.2231	0.0036	0.0056	0.0044	0.5648
No log	6.0	42	1.1648	0.0052	0.01	0.0068	0.5900
No log	7.0	49	1.1165	0.0089	0.02	0.0123	0.6053
No log	8.0	56	1.0470	0.0121	0.0322	0.0176	0.6391
No log	9.0	63	0.9909	0.0194	0.05	0.0279	0.6645
No log	10.0	70	0.9535	0.0266	0.0589	0.0367	0.6758
No log	11.0	77	0.9146	0.0372	0.0833	0.0515	0.7006
No log	12.0	84	0.9008	0.0448	0.09	0.0598	0.7124
No log	13.0	91	0.8957	0.0477	0.0878	0.0618	0.7169
No log	14.0	98	0.8472	0.0563	0.11	0.0745	0.7335
No log	15.0	105	0.8202	0.0570	0.1133	0.0758	0.7400
No log	16.0	112	0.8045	0.0696	0.1311	0.0909	0.7425
No log	17.0	119	0.7985	0.0688	0.13	0.0900	0.7433
No log	18.0	126	0.7883	0.0770	0.14	0.0994	0.7483
No log	19.0	133	0.7715	0.0836	0.1556	0.1088	0.7545
No log	20.0	140	0.7656	0.0912	0.1656	0.1176	0.7580
No log	21.0	147	0.7639	0.0883	0.1689	0.1159	0.7577
No log	22.0	154	0.7444	0.0884	0.1689	0.1161	0.7636
No log	23.0	161	0.7479	0.0928	0.1778	0.1219	0.7659
No log	24.0	168	0.7377	0.0936	0.1822	0.1237	0.7711
No log	25.0	175	0.7229	0.1030	0.1989	0.1357	0.7732
No log	26.0	182	0.7222	0.1080	0.2078	0.1422	0.7750
No log	27.0	189	0.7195	0.1105	0.2067	0.1440	0.7711
No log	28.0	196	0.7197	0.1133	0.22	0.1495	0.7744
No log	29.0	203	0.7136	0.1179	0.23	0.1559	0.7773
No log	30.0	210	0.7140	0.1236	0.2367	0.1624	0.7792
No log	31.0	217	0.6951	0.1226	0.2378	0.1618	0.7804
No log	32.0	224	0.7239	0.1372	0.2611	0.1799	0.7837
No log	33.0	231	0.7081	0.1362	0.2644	0.1798	0.7876
No log	34.0	238	0.7006	0.1290	0.2578	0.1719	0.7826
No log	35.0	245	0.7019	0.1481	0.2833	0.1945	0.7907
No log	36.0	252	0.7151	0.1375	0.2778	0.1840	0.7928
No log	37.0	259	0.7046	0.1561	0.3022	0.2058	0.7931
No log	38.0	266	0.7066	0.1553	0.3111	0.2072	0.7969
No log	39.0	273	0.7000	0.1589	0.3089	0.2098	0.7946
No log	40.0	280	0.7155	0.1730	0.3322	0.2275	0.7963
No log	41.0	287	0.7091	0.1758	0.3311	0.2297	0.7974
No log	42.0	294	0.7170	0.1758	0.3367	0.2309	0.7985
No log	43.0	301	0.7191	0.1828	0.3444	0.2388	0.7989
No log	44.0	308	0.7016	0.1935	0.3489	0.2489	0.7947
No log	45.0	315	0.7021	0.2	0.3711	0.2599	0.8007
No log	46.0	322	0.6913	0.1940	0.3589	0.2519	0.8006
No log	47.0	329	0.7037	0.1884	0.3644	0.2484	0.8011
No log	48.0	336	0.7169	0.1917	0.3733	0.2533	0.8021
No log	49.0	343	0.7276	0.2035	0.38	0.2650	0.8042
No log	50.0	350	0.7232	0.2104	0.3789	0.2705	0.8063
No log	51.0	357	0.7502	0.2162	0.3911	0.2785	0.8007
No log	52.0	364	0.7354	0.2216	0.3878	0.2820	0.8028
No log	53.0	371	0.7204	0.2152	0.4056	0.2812	0.8048
No log	54.0	378	0.7206	0.2224	0.4122	0.2889	0.8029
No log	55.0	385	0.7219	0.2276	0.42	0.2952	0.8033
No log	56.0	392	0.7377	0.2298	0.4022	0.2925	0.8021
No log	57.0	399	0.7308	0.2266	0.4122	0.2925	0.8083
No log	58.0	406	0.7468	0.2242	0.42	0.2923	0.8073
No log	59.0	413	0.7348	0.24	0.4333	0.3089	0.8093
No log	60.0	420	0.7540	0.2196	0.4322	0.2913	0.8040
No log	61.0	427	0.7628	0.2325	0.4278	0.3013	0.8086
No log	62.0	434	0.7531	0.2379	0.4467	0.3104	0.8098
No log	63.0	441	0.7770	0.2424	0.4322	0.3106	0.8071
No log	64.0	448	0.7573	0.2431	0.4433	0.3140	0.8115
No log	65.0	455	0.7820	0.2279	0.4156	0.2944	0.8067
No log	66.0	462	0.8081	0.2375	0.4322	0.3065	0.8063
No log	67.0	469	0.7965	0.2426	0.4489	0.3150	0.8082
No log	68.0	476	0.8123	0.2448	0.4456	0.3160	0.8054
No log	69.0	483	0.7864	0.2455	0.4433	0.3160	0.8095
No log	70.0	490	0.7793	0.2356	0.4511	0.3096	0.8128
No log	71.0	497	0.7856	0.2460	0.4656	0.3219	0.8117
0.5219	72.0	504	0.8033	0.2387	0.4656	0.3156	0.8063
0.5219	73.0	511	0.7884	0.2478	0.4722	0.3250	0.8132
0.5219	74.0	518	0.7854	0.2466	0.4622	0.3216	0.8121
0.5219	75.0	525	0.7910	0.2492	0.4578	0.3228	0.8130
0.5219	76.0	532	0.8115	0.2491	0.47	0.3256	0.8115
0.5219	77.0	539	0.8232	0.2484	0.4667	0.3242	0.8098
0.5219	78.0	546	0.8207	0.2670	0.4767	0.3422	0.8100
0.5219	79.0	553	0.8512	0.2488	0.4656	0.3243	0.8067
0.5219	80.0	560	0.8159	0.2639	0.4689	0.3377	0.8118
0.5219	81.0	567	0.8069	0.2597	0.4767	0.3362	0.8119
0.5219	82.0	574	0.8056	0.2502	0.4611	0.3243	0.8113
0.5219	83.0	581	0.8204	0.2518	0.4744	0.3290	0.8107
0.5219	84.0	588	0.8038	0.2615	0.4689	0.3357	0.8129
0.5219	85.0	595	0.8099	0.2567	0.4789	0.3342	0.8141
0.5219	86.0	602	0.8144	0.2641	0.4733	0.3390	0.8179
0.5219	87.0	609	0.8239	0.2461	0.4711	0.3233	0.8159
0.5219	88.0	616	0.8362	0.2693	0.4767	0.3442	0.8179
0.5219	89.0	623	0.8307	0.2567	0.4689	0.3318	0.8113
0.5219	90.0	630	0.8271	0.2745	0.4856	0.3507	0.8161
0.5219	91.0	637	0.8346	0.2625	0.4678	0.3363	0.8162
0.5219	92.0	644	0.8413	0.2670	0.4678	0.3399	0.8138
0.5219	93.0	651	0.8598	0.2807	0.4778	0.3536	0.8170
0.5219	94.0	658	0.8791	0.2691	0.4689	0.3420	0.8153
0.5219	95.0	665	0.8683	0.2540	0.4767	0.3314	0.8087
0.5219	96.0	672	0.8682	0.2743	0.4889	0.3514	0.8168
0.5219	97.0	679	0.8869	0.2674	0.4867	0.3452	0.8128
0.5219	98.0	686	0.8428	0.2699	0.4833	0.3463	0.8163
0.5219	99.0	693	0.8541	0.2655	0.4711	0.3396	0.8136
0.5219	100.0	700	0.8719	0.2734	0.4778	0.3478	0.8190
0.5219	101.0	707	0.8876	0.2731	0.4767	0.3472	0.8170
0.5219	102.0	714	0.8698	0.2738	0.47	0.3460	0.8187
0.5219	103.0	721	0.8713	0.2804	0.4867	0.3558	0.8176
0.5219	104.0	728	0.8767	0.2787	0.4889	0.3550	0.8170
0.5219	105.0	735	0.8904	0.2750	0.4867	0.3514	0.8157
0.5219	106.0	742	0.8767	0.2850	0.4889	0.3601	0.8212
0.5219	107.0	749	0.8611	0.2776	0.4856	0.3533	0.8195
0.5219	108.0	756	0.8694	0.2660	0.4978	0.3467	0.8165
0.5219	109.0	763	0.8730	0.2834	0.49	0.3591	0.8190
0.5219	110.0	770	0.8742	0.2679	0.4733	0.3422	0.8177
0.5219	111.0	777	0.8642	0.2815	0.4844	0.3561	0.8208
0.5219	112.0	784	0.8700	0.2850	0.4978	0.3625	0.8194
0.5219	113.0	791	0.8861	0.2784	0.4978	0.3571	0.8170
0.5219	114.0	798	0.8764	0.2763	0.49	0.3534	0.8220
0.5219	115.0	805	0.8905	0.2853	0.4944	0.3618	0.8197
0.5219	116.0	812	0.9096	0.2871	0.4811	0.3596	0.8186
0.5219	117.0	819	0.9097	0.2750	0.4911	0.3526	0.8176
0.5219	118.0	826	0.8813	0.2929	0.4878	0.3660	0.8219
0.5219	119.0	833	0.8781	0.2883	0.4956	0.3645	0.8209
0.5219	120.0	840	0.8910	0.2928	0.5133	0.3729	0.8210
0.5219	121.0	847	0.8964	0.2883	0.5078	0.3678	0.8240
0.5219	122.0	854	0.9269	0.2893	0.5089	0.3689	0.8188
0.5219	123.0	861	0.9069	0.2879	0.4911	0.3630	0.8208
0.5219	124.0	868	0.8977	0.2983	0.4989	0.3734	0.8251
0.5219	125.0	875	0.8922	0.2814	0.4956	0.3590	0.8217
0.5219	126.0	882	0.9102	0.2822	0.4922	0.3587	0.8212
0.5219	127.0	889	0.9242	0.2916	0.51	0.3711	0.8210
0.5219	128.0	896	0.9239	0.2963	0.5044	0.3734	0.8209
0.5219	129.0	903	0.9205	0.2957	0.5011	0.3720	0.8214
0.5219	130.0	910	0.9336	0.3014	0.51	0.3789	0.8210
0.5219	131.0	917	0.9304	0.2962	0.5111	0.3751	0.8222
0.5219	132.0	924	0.9376	0.2898	0.4956	0.3657	0.8210
0.5219	133.0	931	0.9255	0.2901	0.5022	0.3678	0.8216
0.5219	134.0	938	0.9112	0.3	0.51	0.3778	0.8222
0.5219	135.0	945	0.9399	0.2963	0.5067	0.3739	0.8203
0.5219	136.0	952	0.9284	0.2959	0.51	0.3745	0.8211
0.5219	137.0	959	0.9366	0.2923	0.4989	0.3686	0.8223
0.5219	138.0	966	0.9344	0.2894	0.4956	0.3654	0.8212
0.5219	139.0	973	0.9423	0.3054	0.51	0.3820	0.8201
0.5219	140.0	980	0.9646	0.3009	0.4978	0.3751	0.8200
0.5219	141.0	987	0.9396	0.3030	0.51	0.3801	0.8228
0.5219	142.0	994	0.9367	0.2949	0.5089	0.3734	0.8219
0.0657	143.0	1001	0.9592	0.3076	0.4956	0.3796	0.8203
0.0657	144.0	1008	0.9598	0.2924	0.5033	0.3699	0.8190
0.0657	145.0	1015	0.9369	0.3198	0.5156	0.3947	0.8235
0.0657	146.0	1022	0.9509	0.3069	0.5122	0.3838	0.8232
0.0657	147.0	1029	0.9623	0.2867	0.5033	0.3653	0.8193
0.0657	148.0	1036	0.9718	0.2973	0.5011	0.3732	0.8185
0.0657	149.0	1043	0.9434	0.3045	0.5167	0.3832	0.8215
0.0657	150.0	1050	0.9627	0.2988	0.5067	0.3759	0.8215
0.0657	151.0	1057	0.9607	0.2969	0.5078	0.3747	0.8219
0.0657	152.0	1064	0.9498	0.3035	0.5122	0.3811	0.8220
0.0657	153.0	1071	0.9574	0.3094	0.5178	0.3874	0.8220
0.0657	154.0	1078	0.9547	0.3243	0.53	0.4024	0.8249
0.0657	155.0	1085	0.9891	0.3003	0.5044	0.3765	0.8205
0.0657	156.0	1092	0.9727	0.3018	0.5167	0.3810	0.8218
0.0657	157.0	1099	0.9646	0.3050	0.51	0.3817	0.8217
0.0657	158.0	1106	0.9610	0.2962	0.5144	0.3760	0.8205
0.0657	159.0	1113	0.9822	0.2965	0.5122	0.3756	0.8228
0.0657	160.0	1120	0.9624	0.3081	0.5156	0.3857	0.8228
0.0657	161.0	1127	0.9693	0.3067	0.5156	0.3846	0.8219
0.0657	162.0	1134	0.9714	0.2989	0.5078	0.3763	0.8217
0.0657	163.0	1141	0.9568	0.3122	0.5133	0.3882	0.8254
0.0657	164.0	1148	0.9919	0.3112	0.5211	0.3897	0.8236
0.0657	165.0	1155	0.9790	0.3095	0.5144	0.3865	0.8215
0.0657	166.0	1162	0.9739	0.31	0.5167	0.3875	0.8216
0.0657	167.0	1169	0.9832	0.2967	0.5167	0.3770	0.8202
0.0657	168.0	1176	0.9788	0.3096	0.5178	0.3875	0.8218
0.0657	169.0	1183	0.9765	0.2968	0.5078	0.3746	0.8199
0.0657	170.0	1190	0.9855	0.3023	0.5156	0.3811	0.8187
0.0657	171.0	1197	0.9797	0.3128	0.5189	0.3903	0.8252
0.0657	172.0	1204	0.9766	0.3079	0.5211	0.3871	0.8204
0.0657	173.0	1211	0.9693	0.3084	0.5167	0.3862	0.8234
0.0657	174.0	1218	0.9892	0.3076	0.5189	0.3863	0.8248
0.0657	175.0	1225	0.9850	0.3070	0.5133	0.3842	0.8223
0.0657	176.0	1232	0.9956	0.3158	0.5189	0.3926	0.8201
0.0657	177.0	1239	0.9919	0.3178	0.5156	0.3932	0.8213
0.0657	178.0	1246	1.0016	0.3069	0.5156	0.3847	0.8227
0.0657	179.0	1253	1.0104	0.2991	0.5111	0.3774	0.8197
0.0657	180.0	1260	0.9953	0.3103	0.5233	0.3896	0.8225
0.0657	181.0	1267	1.0140	0.2981	0.5144	0.3775	0.8184
0.0657	182.0	1274	0.9918	0.3074	0.5133	0.3845	0.8224
0.0657	183.0	1281	1.0138	0.3047	0.5122	0.3821	0.8215
0.0657	184.0	1288	0.9915	0.3070	0.5222	0.3867	0.8229
0.0657	185.0	1295	0.9954	0.2993	0.5111	0.3775	0.8213
0.0657	186.0	1302	1.0051	0.2922	0.4978	0.3683	0.8217
0.0657	187.0	1309	1.0040	0.3018	0.5178	0.3813	0.8235
0.0657	188.0	1316	1.0105	0.3165	0.5211	0.3938	0.8235
0.0657	189.0	1323	0.9985	0.3064	0.5233	0.3865	0.8213
0.0657	190.0	1330	1.0056	0.3054	0.5111	0.3824	0.8223
0.0657	191.0	1337	0.9902	0.3008	0.5133	0.3793	0.8222
0.0657	192.0	1344	1.0168	0.3003	0.5144	0.3792	0.8216
0.0657	193.0	1351	0.9967	0.3095	0.5144	0.3865	0.8222
0.0657	194.0	1358	1.0256	0.2988	0.5133	0.3778	0.8193
0.0657	195.0	1365	1.0031	0.2996	0.52	0.3802	0.8240
0.0657	196.0	1372	1.0174	0.3133	0.5167	0.3901	0.8243
0.0657	197.0	1379	1.0119	0.3091	0.5244	0.3890	0.8225
0.0657	198.0	1386	1.0050	0.3181	0.5189	0.3944	0.8248
0.0657	199.0	1393	1.0206	0.3026	0.5211	0.3829	0.8208
0.0657	200.0	1400	1.0157	0.3036	0.5111	0.3810	0.8221
0.0657	201.0	1407	1.0210	0.3040	0.5178	0.3831	0.8201
0.0657	202.0	1414	1.0225	0.3094	0.5167	0.3870	0.8218
0.0657	203.0	1421	1.0212	0.3095	0.5189	0.3877	0.8213
0.0657	204.0	1428	1.0247	0.3057	0.5167	0.3841	0.8208
0.0657	205.0	1435	1.0229	0.3037	0.5133	0.3817	0.8211
0.0657	206.0	1442	1.0188	0.3014	0.5178	0.3810	0.8215
0.0657	207.0	1449	1.0258	0.3065	0.5211	0.3860	0.8201
0.0657	208.0	1456	1.0339	0.3095	0.5156	0.3868	0.8210
0.0657	209.0	1463	1.0323	0.3105	0.5144	0.3873	0.8220
0.0657	210.0	1470	1.0317	0.3063	0.5167	0.3846	0.8221
0.0657	211.0	1477	1.0285	0.2981	0.52	0.3789	0.8206
0.0657	212.0	1484	1.0241	0.3098	0.5167	0.3873	0.8245
0.0657	213.0	1491	1.0311	0.3036	0.5211	0.3836	0.8226
0.0657	214.0	1498	1.0370	0.3005	0.5144	0.3794	0.8239
0.0235	215.0	1505	1.0228	0.3046	0.5222	0.3848	0.8218
0.0235	216.0	1512	1.0250	0.3099	0.52	0.3884	0.8231
0.0235	217.0	1519	1.0320	0.3124	0.52	0.3903	0.8216
0.0235	218.0	1526	1.0330	0.3059	0.5244	0.3864	0.8220
0.0235	219.0	1533	1.0475	0.3055	0.5122	0.3827	0.8201
0.0235	220.0	1540	1.0430	0.3092	0.5222	0.3884	0.8199
0.0235	221.0	1547	1.0283	0.3114	0.52	0.3895	0.8225
0.0235	222.0	1554	1.0338	0.2991	0.5244	0.3810	0.8227
0.0235	223.0	1561	1.0440	0.3002	0.5167	0.3797	0.8198
0.0235	224.0	1568	1.0311	0.3023	0.5156	0.3811	0.8215
0.0235	225.0	1575	1.0442	0.3094	0.5222	0.3886	0.8209
0.0235	226.0	1582	1.0439	0.3096	0.5222	0.3888	0.8193
0.0235	227.0	1589	1.0492	0.3015	0.5233	0.3826	0.8207
0.0235	228.0	1596	1.0434	0.3016	0.5167	0.3808	0.8212
0.0235	229.0	1603	1.0431	0.3019	0.5122	0.3799	0.8222
0.0235	230.0	1610	1.0516	0.3141	0.5189	0.3913	0.8226
0.0235	231.0	1617	1.0405	0.3097	0.5189	0.3879	0.8219
0.0235	232.0	1624	1.0383	0.3030	0.5178	0.3823	0.8223
0.0235	233.0	1631	1.0460	0.3128	0.5189	0.3903	0.8203
0.0235	234.0	1638	1.0370	0.3124	0.5244	0.3915	0.8245
0.0235	235.0	1645	1.0414	0.3019	0.5233	0.3829	0.8210
0.0235	236.0	1652	1.0528	0.2989	0.52	0.3796	0.8211
0.0235	237.0	1659	1.0547	0.3012	0.5144	0.3800	0.8227
0.0235	238.0	1666	1.0515	0.3181	0.5256	0.3963	0.8195
0.0235	239.0	1673	1.0456	0.3039	0.5156	0.3824	0.8248
0.0235	240.0	1680	1.0373	0.2996	0.5222	0.3807	0.8223
0.0235	241.0	1687	1.0379	0.3091	0.5189	0.3874	0.8241
0.0235	242.0	1694	1.0477	0.3077	0.52	0.3866	0.8202
0.0235	243.0	1701	1.0346	0.3116	0.5144	0.3881	0.8222
0.0235	244.0	1708	1.0500	0.3061	0.5211	0.3857	0.8206
0.0235	245.0	1715	1.0471	0.3093	0.5189	0.3876	0.8231
0.0235	246.0	1722	1.0390	0.3072	0.5178	0.3856	0.8241
0.0235	247.0	1729	1.0510	0.3022	0.5133	0.3804	0.8218
0.0235	248.0	1736	1.0556	0.3015	0.5156	0.3805	0.8195
0.0235	249.0	1743	1.0531	0.3100	0.5178	0.3878	0.8218
0.0235	250.0	1750	1.0507	0.3002	0.5167	0.3797	0.8226
0.0235	251.0	1757	1.0468	0.3077	0.52	0.3866	0.8232
0.0235	252.0	1764	1.0476	0.3097	0.5244	0.3894	0.8228
0.0235	253.0	1771	1.0596	0.3066	0.5178	0.3851	0.8218
0.0235	254.0	1778	1.0467	0.3077	0.5211	0.3870	0.8230
0.0235	255.0	1785	1.0417	0.3091	0.5189	0.3874	0.8239
0.0235	256.0	1792	1.0428	0.3062	0.5189	0.3852	0.8241
0.0235	257.0	1799	1.0555	0.3147	0.5178	0.3914	0.8251
0.0235	258.0	1806	1.0426	0.3176	0.5222	0.3950	0.8247
0.0235	259.0	1813	1.0482	0.3120	0.5211	0.3903	0.8214
0.0235	260.0	1820	1.0522	0.3085	0.52	0.3873	0.8231
0.0235	261.0	1827	1.0539	0.3048	0.5222	0.3849	0.8223
0.0235	262.0	1834	1.0511	0.3072	0.5222	0.3868	0.8224
0.0235	263.0	1841	1.0586	0.3093	0.52	0.3879	0.8228
0.0235	264.0	1848	1.0604	0.3098	0.5211	0.3886	0.8220
0.0235	265.0	1855	1.0549	0.3125	0.5267	0.3922	0.8223
0.0235	266.0	1862	1.0573	0.3092	0.5222	0.3884	0.8226
0.0235	267.0	1869	1.0589	0.3086	0.5178	0.3867	0.8221
0.0235	268.0	1876	1.0611	0.3064	0.5222	0.3862	0.8216
0.0235	269.0	1883	1.0623	0.3085	0.52	0.3873	0.8228
0.0235	270.0	1890	1.0591	0.3108	0.52	0.3890	0.8225
0.0235	271.0	1897	1.0571	0.3074	0.5222	0.3870	0.8213
0.0235	272.0	1904	1.0552	0.3071	0.52	0.3861	0.8207
0.0235	273.0	1911	1.0637	0.3037	0.52	0.3834	0.8207
0.0235	274.0	1918	1.0663	0.3022	0.5211	0.3825	0.8211
0.0235	275.0	1925	1.0577	0.2991	0.5178	0.3792	0.8216
0.0235	276.0	1932	1.0520	0.3047	0.5167	0.3833	0.8231
0.0235	277.0	1939	1.0552	0.3060	0.5178	0.3846	0.8232
0.0235	278.0	1946	1.0607	0.3036	0.5189	0.3831	0.8229
0.0235	279.0	1953	1.0592	0.3016	0.5211	0.3821	0.8218
0.0235	280.0	1960	1.0595	0.2990	0.5189	0.3794	0.8231
0.0235	281.0	1967	1.0615	0.3046	0.5178	0.3835	0.8213
0.0235	282.0	1974	1.0585	0.3034	0.5189	0.3829	0.8207
0.0235	283.0	1981	1.0577	0.3051	0.5167	0.3837	0.8220
0.0235	284.0	1988	1.0631	0.3108	0.52	0.3890	0.8225
0.0235	285.0	1995	1.0631	0.3091	0.52	0.3877	0.8213
0.0144	286.0	2002	1.0593	0.3067	0.5167	0.3849	0.8204
0.0144	287.0	2009	1.0559	0.3100	0.5178	0.3878	0.8209
0.0144	288.0	2016	1.0553	0.3060	0.5178	0.3846	0.8218
0.0144	289.0	2023	1.0558	0.3035	0.52	0.3833	0.8225
0.0144	290.0	2030	1.0593	0.3001	0.5178	0.3799	0.8220
0.0144	291.0	2037	1.0605	0.3031	0.52	0.3830	0.8220
0.0144	292.0	2044	1.0617	0.3051	0.5211	0.3849	0.8224
0.0144	293.0	2051	1.0606	0.3029	0.5189	0.3825	0.8220
0.0144	294.0	2058	1.0589	0.3001	0.5178	0.3799	0.8220
0.0144	295.0	2065	1.0585	0.3028	0.5178	0.3821	0.8224
0.0144	296.0	2072	1.0589	0.3061	0.52	0.3853	0.8226
0.0144	297.0	2079	1.0582	0.3060	0.5189	0.3850	0.8228
0.0144	298.0	2086	1.0582	0.3058	0.5189	0.3848	0.8226
0.0144	299.0	2093	1.0583	0.3056	0.5189	0.3847	0.8225
0.0144	300.0	2100	1.0583	0.3056	0.5189	0.3847	0.8225

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 11, 2023
Updated: Mar 11, 2023