clinico-finetuned-augmented1

joheras/clinico-finetuned-augmented1

clinico-finetuned-augmented1 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 17, 2023
Updated: Mar 17, 2023
SHA: e33d632e

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Model card

From the Hugging Face model README

clinico-finetuned-augmented1

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: 1.2935
Precision: 0.3471
Recall: 0.55
F1: 0.4256
Accuracy: 0.8319

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	23	1.3471	0.0013	0.0022	0.0016	0.5548
No log	2.0	46	1.0386	0.0120	0.0344	0.0179	0.6527
No log	3.0	69	0.9088	0.0410	0.0933	0.0569	0.7125
No log	4.0	92	0.8189	0.0604	0.1356	0.0835	0.7446
No log	5.0	115	0.7484	0.0943	0.1844	0.1248	0.7704
No log	6.0	138	0.7094	0.1132	0.2178	0.1489	0.7772
No log	7.0	161	0.7022	0.1169	0.2211	0.1530	0.7800
No log	8.0	184	0.6776	0.1575	0.2878	0.2036	0.7944
No log	9.0	207	0.6983	0.1493	0.2911	0.1974	0.7964
No log	10.0	230	0.6821	0.1772	0.33	0.2306	0.8021
No log	11.0	253	0.6845	0.1861	0.3511	0.2433	0.8053
No log	12.0	276	0.6874	0.2020	0.3756	0.2627	0.8106
No log	13.0	299	0.6973	0.2098	0.3967	0.2744	0.8102
No log	14.0	322	0.7230	0.2140	0.41	0.2812	0.8140
No log	15.0	345	0.7448	0.2243	0.4244	0.2935	0.8100
No log	16.0	368	0.7519	0.2378	0.4278	0.3057	0.8111
No log	17.0	391	0.7503	0.2326	0.4378	0.3038	0.8119
No log	18.0	414	0.7573	0.2494	0.4456	0.3198	0.8139
No log	19.0	437	0.7970	0.2435	0.4544	0.3171	0.8137
No log	20.0	460	0.7990	0.2523	0.4511	0.3236	0.8170
No log	21.0	483	0.8115	0.2484	0.4633	0.3234	0.8139
0.4675	22.0	506	0.8135	0.2572	0.4667	0.3316	0.8157
0.4675	23.0	529	0.8509	0.2644	0.4656	0.3372	0.8108
0.4675	24.0	552	0.8450	0.2600	0.4789	0.3370	0.8143
0.4675	25.0	575	0.8667	0.2777	0.4811	0.3522	0.8220
0.4675	26.0	598	0.8639	0.2634	0.4767	0.3393	0.8152
0.4675	27.0	621	0.8903	0.2790	0.4811	0.3532	0.8154
0.4675	28.0	644	0.8697	0.2885	0.4978	0.3653	0.8212
0.4675	29.0	667	0.8856	0.2851	0.4856	0.3592	0.8197
0.4675	30.0	690	0.9332	0.2670	0.4933	0.3465	0.8141
0.4675	31.0	713	0.9064	0.2929	0.5078	0.3715	0.8201
0.4675	32.0	736	0.9256	0.2915	0.5089	0.3707	0.8222
0.4675	33.0	759	0.9447	0.2959	0.51	0.3745	0.8175
0.4675	34.0	782	0.9387	0.2998	0.5133	0.3785	0.8199
0.4675	35.0	805	0.9545	0.3124	0.52	0.3903	0.8225
0.4675	36.0	828	0.9785	0.2962	0.5056	0.3736	0.8179
0.4675	37.0	851	0.9635	0.3004	0.5133	0.3790	0.8201
0.4675	38.0	874	0.9749	0.2810	0.5011	0.3601	0.8229
0.4675	39.0	897	0.9753	0.3018	0.5289	0.3843	0.8201
0.4675	40.0	920	0.9735	0.3001	0.5122	0.3785	0.8221
0.4675	41.0	943	1.0196	0.3033	0.5078	0.3797	0.8179
0.4675	42.0	966	0.9775	0.3037	0.5267	0.3852	0.8254
0.4675	43.0	989	1.0051	0.3028	0.5133	0.3809	0.8221
0.0384	44.0	1012	1.0053	0.3067	0.5256	0.3874	0.8250
0.0384	45.0	1035	1.0145	0.3090	0.5356	0.3919	0.8225
0.0384	46.0	1058	1.0299	0.3081	0.5244	0.3882	0.8212
0.0384	47.0	1081	1.0265	0.3231	0.5256	0.4002	0.8239
0.0384	48.0	1104	1.0151	0.3154	0.5278	0.3948	0.8248
0.0384	49.0	1127	1.0384	0.3229	0.5378	0.4035	0.8234
0.0384	50.0	1150	1.0641	0.3159	0.5311	0.3962	0.8207
0.0384	51.0	1173	1.0592	0.3123	0.5233	0.3912	0.8218
0.0384	52.0	1196	1.0314	0.3131	0.5378	0.3957	0.8238
0.0384	53.0	1219	1.0466	0.3169	0.5344	0.3978	0.8235
0.0384	54.0	1242	1.0402	0.3005	0.5156	0.3797	0.8229
0.0384	55.0	1265	1.0384	0.3149	0.5311	0.3954	0.8239
0.0384	56.0	1288	1.0401	0.3282	0.5456	0.4098	0.8234
0.0384	57.0	1311	1.0584	0.3221	0.5322	0.4013	0.8232
0.0384	58.0	1334	1.0665	0.3308	0.5411	0.4106	0.8256
0.0384	59.0	1357	1.0774	0.3201	0.5267	0.3982	0.8228
0.0384	60.0	1380	1.0800	0.3144	0.5344	0.3959	0.8201
0.0384	61.0	1403	1.1017	0.3071	0.52	0.3861	0.8197
0.0384	62.0	1426	1.1059	0.3218	0.5289	0.4002	0.8192
0.0384	63.0	1449	1.0926	0.3199	0.5367	0.4008	0.8216
0.0384	64.0	1472	1.0825	0.3135	0.5267	0.3930	0.8262
0.0384	65.0	1495	1.1075	0.3190	0.5344	0.3995	0.8213
0.0109	66.0	1518	1.1220	0.3174	0.5233	0.3951	0.8201
0.0109	67.0	1541	1.1047	0.3233	0.5367	0.4035	0.8221
0.0109	68.0	1564	1.1506	0.3203	0.5367	0.4012	0.8226
0.0109	69.0	1587	1.1263	0.3188	0.5289	0.3978	0.8229
0.0109	70.0	1610	1.1126	0.3150	0.5344	0.3964	0.8217
0.0109	71.0	1633	1.1014	0.3210	0.5389	0.4023	0.8239
0.0109	72.0	1656	1.1620	0.3213	0.5444	0.4041	0.8206
0.0109	73.0	1679	1.1406	0.3400	0.55	0.4202	0.8229
0.0109	74.0	1702	1.1173	0.3276	0.5467	0.4097	0.8224
0.0109	75.0	1725	1.1185	0.3274	0.5533	0.4114	0.8256
0.0109	76.0	1748	1.1058	0.3215	0.5422	0.4036	0.8235
0.0109	77.0	1771	1.1212	0.3250	0.5356	0.4045	0.8269
0.0109	78.0	1794	1.1542	0.3185	0.5267	0.3970	0.8237
0.0109	79.0	1817	1.1348	0.3299	0.54	0.4096	0.8237
0.0109	80.0	1840	1.1355	0.3282	0.5411	0.4086	0.8244
0.0109	81.0	1863	1.1255	0.3172	0.5456	0.4011	0.8238
0.0109	82.0	1886	1.1328	0.3322	0.5467	0.4133	0.8232
0.0109	83.0	1909	1.1444	0.3359	0.54	0.4141	0.8232
0.0109	84.0	1932	1.1474	0.3395	0.5467	0.4189	0.8231
0.0109	85.0	1955	1.1526	0.3336	0.5411	0.4127	0.8225
0.0109	86.0	1978	1.1408	0.3327	0.5411	0.4120	0.8262
0.0055	87.0	2001	1.1414	0.3269	0.5433	0.4082	0.8232
0.0055	88.0	2024	1.1626	0.3354	0.54	0.4138	0.8230
0.0055	89.0	2047	1.1622	0.3394	0.5378	0.4162	0.8251
0.0055	90.0	2070	1.1423	0.3251	0.5244	0.4014	0.8264
0.0055	91.0	2093	1.1629	0.3290	0.5322	0.4066	0.8252
0.0055	92.0	2116	1.1478	0.3372	0.5544	0.4193	0.8238
0.0055	93.0	2139	1.1847	0.3280	0.5267	0.4043	0.8252
0.0055	94.0	2162	1.1801	0.3447	0.5411	0.4211	0.8204
0.0055	95.0	2185	1.1526	0.3297	0.5378	0.4088	0.8258
0.0055	96.0	2208	1.1786	0.3475	0.5433	0.4239	0.8230
0.0055	97.0	2231	1.1672	0.3347	0.5411	0.4136	0.8247
0.0055	98.0	2254	1.2031	0.3230	0.5422	0.4048	0.8214
0.0055	99.0	2277	1.1589	0.3347	0.5478	0.4155	0.8280
0.0055	100.0	2300	1.2049	0.3276	0.5533	0.4116	0.8214
0.0055	101.0	2323	1.1695	0.3304	0.5422	0.4106	0.8248
0.0055	102.0	2346	1.1933	0.3406	0.5522	0.4214	0.8218
0.0055	103.0	2369	1.1821	0.3351	0.5544	0.4177	0.8231
0.0055	104.0	2392	1.2068	0.3369	0.5311	0.4122	0.8207
0.0055	105.0	2415	1.1866	0.3384	0.5478	0.4183	0.8214
0.0055	106.0	2438	1.1917	0.3347	0.5544	0.4174	0.8243
0.0055	107.0	2461	1.2080	0.3304	0.5456	0.4116	0.8232
0.0055	108.0	2484	1.1625	0.3351	0.5544	0.4177	0.8258
0.0034	109.0	2507	1.2035	0.3251	0.5378	0.4052	0.8238
0.0034	110.0	2530	1.1610	0.3340	0.5456	0.4143	0.8276
0.0034	111.0	2553	1.1941	0.3522	0.5533	0.4304	0.8267
0.0034	112.0	2576	1.1784	0.3424	0.5467	0.4211	0.8284
0.0034	113.0	2599	1.1831	0.3351	0.5478	0.4159	0.8301
0.0034	114.0	2622	1.1999	0.3368	0.5467	0.4168	0.8265
0.0034	115.0	2645	1.1896	0.3407	0.5467	0.4198	0.8277
0.0034	116.0	2668	1.1865	0.3451	0.5433	0.4221	0.8291
0.0034	117.0	2691	1.2529	0.3498	0.55	0.4276	0.8228
0.0034	118.0	2714	1.2159	0.3356	0.5478	0.4162	0.8267
0.0034	119.0	2737	1.1932	0.3401	0.5556	0.4219	0.8283
0.0034	120.0	2760	1.1842	0.3419	0.5467	0.4207	0.8287
0.0034	121.0	2783	1.2179	0.3407	0.5456	0.4195	0.8270
0.0034	122.0	2806	1.2617	0.3322	0.5489	0.4139	0.8233
0.0034	123.0	2829	1.1982	0.3356	0.5544	0.4181	0.8237
0.0034	124.0	2852	1.1664	0.3379	0.5533	0.4195	0.8297
0.0034	125.0	2875	1.1780	0.3599	0.5578	0.4375	0.8299
0.0034	126.0	2898	1.2004	0.3515	0.5578	0.4313	0.8310
0.0034	127.0	2921	1.1824	0.3405	0.5478	0.4199	0.8325
0.0034	128.0	2944	1.1934	0.3390	0.5533	0.4204	0.8277
0.0034	129.0	2967	1.1975	0.3409	0.5511	0.4212	0.8288
0.0034	130.0	2990	1.1867	0.3313	0.5567	0.4154	0.8266
0.0025	131.0	3013	1.2359	0.3336	0.5567	0.4172	0.8191
0.0025	132.0	3036	1.2057	0.3302	0.5544	0.4139	0.8263
0.0025	133.0	3059	1.1999	0.3480	0.5544	0.4276	0.8304
0.0025	134.0	3082	1.2098	0.3230	0.5544	0.4082	0.8246
0.0025	135.0	3105	1.2305	0.3255	0.54	0.4062	0.8227
0.0025	136.0	3128	1.2238	0.3290	0.5356	0.4076	0.8255
0.0025	137.0	3151	1.2014	0.3530	0.5456	0.4286	0.8258
0.0025	138.0	3174	1.2373	0.3536	0.5611	0.4338	0.8248
0.0025	139.0	3197	1.2234	0.3333	0.5544	0.4164	0.8256
0.0025	140.0	3220	1.2205	0.3345	0.5433	0.4141	0.8278
0.0025	141.0	3243	1.2107	0.3406	0.5522	0.4214	0.8275
0.0025	142.0	3266	1.2316	0.3467	0.5478	0.4246	0.8233
0.0025	143.0	3289	1.2420	0.3431	0.5489	0.4222	0.8232
0.0025	144.0	3312	1.2324	0.3430	0.5533	0.4235	0.8247
0.0025	145.0	3335	1.2120	0.3391	0.5489	0.4192	0.8274
0.0025	146.0	3358	1.2396	0.3520	0.5589	0.4319	0.8249
0.0025	147.0	3381	1.2337	0.3502	0.5622	0.4316	0.8252
0.0025	148.0	3404	1.2046	0.3436	0.5556	0.4246	0.8305
0.0025	149.0	3427	1.2149	0.3406	0.5589	0.4232	0.8262
0.0025	150.0	3450	1.2147	0.3469	0.5589	0.4281	0.8276
0.0025	151.0	3473	1.2293	0.3486	0.5578	0.4291	0.8271
0.0025	152.0	3496	1.2431	0.3596	0.5622	0.4387	0.8274
0.0019	153.0	3519	1.2356	0.3603	0.5533	0.4365	0.8270
0.0019	154.0	3542	1.2459	0.3600	0.5656	0.4399	0.8266
0.0019	155.0	3565	1.2203	0.3524	0.5556	0.4312	0.8312
0.0019	156.0	3588	1.2337	0.3653	0.5633	0.4432	0.8304
0.0019	157.0	3611	1.2318	0.3572	0.5644	0.4376	0.8290
0.0019	158.0	3634	1.2456	0.3542	0.5589	0.4336	0.8270
0.0019	159.0	3657	1.2533	0.3474	0.5567	0.4278	0.8252
0.0019	160.0	3680	1.2369	0.3522	0.5544	0.4307	0.8305
0.0019	161.0	3703	1.2516	0.3645	0.5589	0.4412	0.8292
0.0019	162.0	3726	1.2369	0.3448	0.5567	0.4258	0.8296
0.0019	163.0	3749	1.2350	0.3544	0.56	0.4341	0.8316
0.0019	164.0	3772	1.2407	0.3493	0.5589	0.4299	0.8280
0.0019	165.0	3795	1.2450	0.3431	0.5578	0.4249	0.8287
0.0019	166.0	3818	1.2396	0.3593	0.5633	0.4388	0.8312
0.0019	167.0	3841	1.2487	0.3568	0.5689	0.4385	0.8283
0.0019	168.0	3864	1.2995	0.3504	0.5622	0.4317	0.8231
0.0019	169.0	3887	1.2728	0.3502	0.57	0.4338	0.8261
0.0019	170.0	3910	1.2672	0.3605	0.5644	0.4400	0.8263
0.0019	171.0	3933	1.2394	0.3580	0.5489	0.4333	0.8301
0.0019	172.0	3956	1.2566	0.3539	0.5556	0.4323	0.8279
0.0019	173.0	3979	1.2587	0.3514	0.5533	0.4299	0.8281
0.0013	174.0	4002	1.2540	0.3489	0.5467	0.4260	0.8307
0.0013	175.0	4025	1.2817	0.3495	0.5511	0.4278	0.8231
0.0013	176.0	4048	1.2569	0.3543	0.5578	0.4333	0.8275
0.0013	177.0	4071	1.3119	0.3562	0.5544	0.4337	0.8245
0.0013	178.0	4094	1.3102	0.3423	0.5522	0.4226	0.8213
0.0013	179.0	4117	1.2313	0.3407	0.5489	0.4204	0.8320
0.0013	180.0	4140	1.2375	0.3506	0.5567	0.4302	0.8272
0.0013	181.0	4163	1.2360	0.3409	0.5489	0.4206	0.8289
0.0013	182.0	4186	1.2685	0.3465	0.5544	0.4265	0.8281
0.0013	183.0	4209	1.3033	0.3510	0.5511	0.4289	0.8238
0.0013	184.0	4232	1.2407	0.3626	0.5511	0.4374	0.8319
0.0013	185.0	4255	1.2542	0.3605	0.5644	0.4400	0.8284
0.0013	186.0	4278	1.2654	0.3637	0.5633	0.4420	0.8278
0.0013	187.0	4301	1.2667	0.3516	0.5644	0.4333	0.8280
0.0013	188.0	4324	1.2661	0.3542	0.5667	0.4359	0.8293
0.0013	189.0	4347	1.2831	0.3524	0.5533	0.4306	0.8257
0.0013	190.0	4370	1.2593	0.3603	0.55	0.4354	0.8288
0.0013	191.0	4393	1.2186	0.3501	0.5711	0.4341	0.8284
0.0013	192.0	4416	1.2797	0.3576	0.5622	0.4371	0.8222
0.0013	193.0	4439	1.2491	0.3501	0.5656	0.4325	0.8264
0.0013	194.0	4462	1.2456	0.3580	0.5544	0.4350	0.8305
0.0013	195.0	4485	1.2567	0.3542	0.5478	0.4302	0.8275
0.0014	196.0	4508	1.2551	0.3512	0.5611	0.4320	0.8274
0.0014	197.0	4531	1.2512	0.3468	0.5611	0.4287	0.8295
0.0014	198.0	4554	1.2607	0.3465	0.5556	0.4268	0.8279
0.0014	199.0	4577	1.2703	0.3501	0.5556	0.4296	0.8264
0.0014	200.0	4600	1.2536	0.3421	0.5511	0.4221	0.8289
0.0014	201.0	4623	1.2978	0.3302	0.5467	0.4117	0.8242
0.0014	202.0	4646	1.2775	0.3495	0.5456	0.4260	0.8279
0.0014	203.0	4669	1.2697	0.3467	0.5556	0.4270	0.8274
0.0014	204.0	4692	1.2595	0.3525	0.5511	0.4300	0.8295
0.0014	205.0	4715	1.2565	0.3479	0.5578	0.4285	0.8291
0.0014	206.0	4738	1.2547	0.3592	0.5611	0.4380	0.8316
0.0014	207.0	4761	1.2585	0.3537	0.5533	0.4315	0.8303
0.0014	208.0	4784	1.2788	0.3543	0.5622	0.4347	0.8295
0.0014	209.0	4807	1.2566	0.3655	0.5556	0.4409	0.8327
0.0014	210.0	4830	1.2612	0.3655	0.5633	0.4434	0.8326
0.0014	211.0	4853	1.2631	0.3532	0.56	0.4332	0.8321
0.0014	212.0	4876	1.2867	0.3563	0.5467	0.4314	0.8304
0.0014	213.0	4899	1.2959	0.3417	0.5444	0.4199	0.8272
0.0014	214.0	4922	1.2547	0.3577	0.5556	0.4352	0.8339
0.0014	215.0	4945	1.2812	0.3491	0.5567	0.4291	0.8284
0.0014	216.0	4968	1.2780	0.3455	0.5489	0.4240	0.8313
0.0014	217.0	4991	1.2361	0.3500	0.5511	0.4281	0.8349
0.0011	218.0	5014	1.2627	0.3324	0.5433	0.4125	0.8304
0.0011	219.0	5037	1.2884	0.3547	0.5544	0.4326	0.8282
0.0011	220.0	5060	1.2828	0.3320	0.5456	0.4128	0.8270
0.0011	221.0	5083	1.3193	0.3527	0.5467	0.4288	0.8259
0.0011	222.0	5106	1.3023	0.3555	0.5522	0.4326	0.8246
0.0011	223.0	5129	1.2836	0.3354	0.5511	0.4170	0.8305
0.0011	224.0	5152	1.3094	0.3469	0.5511	0.4258	0.8271
0.0011	225.0	5175	1.2760	0.3538	0.5511	0.4309	0.8338
0.0011	226.0	5198	1.2786	0.3494	0.5567	0.4293	0.8336
0.0011	227.0	5221	1.2766	0.3564	0.5556	0.4342	0.8340
0.0011	228.0	5244	1.2738	0.3555	0.5533	0.4329	0.8336
0.0011	229.0	5267	1.2871	0.3538	0.5578	0.4329	0.8292
0.0011	230.0	5290	1.2836	0.3568	0.5578	0.4352	0.8321
0.0011	231.0	5313	1.2787	0.3534	0.5533	0.4314	0.8300
0.0011	232.0	5336	1.2907	0.3538	0.5578	0.4329	0.8327
0.0011	233.0	5359	1.2812	0.3544	0.5556	0.4327	0.8316
0.0011	234.0	5382	1.2802	0.3543	0.5567	0.4330	0.8303
0.0011	235.0	5405	1.3033	0.3484	0.5567	0.4286	0.8284
0.0011	236.0	5428	1.2852	0.3491	0.5578	0.4294	0.8301
0.0011	237.0	5451	1.2866	0.3481	0.5511	0.4267	0.8291
0.0011	238.0	5474	1.2914	0.3524	0.5544	0.4309	0.8297
0.0011	239.0	5497	1.2944	0.3432	0.5522	0.4233	0.8278
0.0009	240.0	5520	1.2860	0.3470	0.5567	0.4275	0.8308
0.0009	241.0	5543	1.2786	0.3516	0.5489	0.4286	0.8309
0.0009	242.0	5566	1.2743	0.3425	0.5511	0.4225	0.8307
0.0009	243.0	5589	1.2843	0.3467	0.5489	0.4249	0.8285
0.0009	244.0	5612	1.3106	0.3372	0.5522	0.4187	0.8266
0.0009	245.0	5635	1.2952	0.3537	0.5456	0.4292	0.8306
0.0009	246.0	5658	1.2716	0.3503	0.5511	0.4283	0.8340
0.0009	247.0	5681	1.3108	0.3452	0.5511	0.4245	0.8254
0.0009	248.0	5704	1.3098	0.3322	0.54	0.4113	0.8283
0.0009	249.0	5727	1.2782	0.3605	0.5544	0.4370	0.8325
0.0009	250.0	5750	1.2979	0.3449	0.5522	0.4246	0.8294
0.0009	251.0	5773	1.2919	0.3492	0.5544	0.4285	0.8313
0.0009	252.0	5796	1.2946	0.3385	0.5533	0.4201	0.8313
0.0009	253.0	5819	1.2994	0.3439	0.5544	0.4245	0.8312
0.0009	254.0	5842	1.2962	0.3522	0.5544	0.4307	0.8312
0.0009	255.0	5865	1.3038	0.3577	0.5556	0.4352	0.8300
0.0009	256.0	5888	1.3091	0.3492	0.5556	0.4288	0.8315
0.0009	257.0	5911	1.2943	0.3477	0.5556	0.4277	0.8315
0.0009	258.0	5934	1.3091	0.3427	0.5556	0.4239	0.8282
0.0009	259.0	5957	1.2957	0.3391	0.5478	0.4189	0.8325
0.0009	260.0	5980	1.2927	0.3367	0.55	0.4177	0.8293
0.0008	261.0	6003	1.2926	0.3363	0.55	0.4174	0.8309
0.0008	262.0	6026	1.2889	0.3449	0.5533	0.4249	0.8326
0.0008	263.0	6049	1.3226	0.3413	0.5522	0.4219	0.8260
0.0008	264.0	6072	1.2979	0.3550	0.5578	0.4339	0.8284
0.0008	265.0	6095	1.3032	0.3493	0.5511	0.4276	0.8289
0.0008	266.0	6118	1.3065	0.3495	0.5533	0.4284	0.8300
0.0008	267.0	6141	1.2992	0.3524	0.5467	0.4286	0.8316
0.0008	268.0	6164	1.2990	0.3560	0.5522	0.4329	0.8310
0.0008	269.0	6187	1.3041	0.3506	0.5489	0.4279	0.8305
0.0008	270.0	6210	1.3046	0.3468	0.5444	0.4237	0.8306
0.0008	271.0	6233	1.3001	0.3626	0.5556	0.4388	0.8317
0.0008	272.0	6256	1.3011	0.3611	0.5533	0.4370	0.8304
0.0008	273.0	6279	1.3057	0.3454	0.5522	0.4250	0.8297
0.0008	274.0	6302	1.3142	0.3416	0.5478	0.4208	0.8280
0.0008	275.0	6325	1.2959	0.3463	0.5544	0.4263	0.8316
0.0008	276.0	6348	1.2905	0.3512	0.5544	0.4300	0.8324
0.0008	277.0	6371	1.3094	0.3531	0.5489	0.4298	0.8301
0.0008	278.0	6394	1.3291	0.3472	0.5456	0.4244	0.8275
0.0008	279.0	6417	1.2861	0.3545	0.5522	0.4318	0.8332
0.0008	280.0	6440	1.2926	0.3549	0.5544	0.4328	0.8307
0.0008	281.0	6463	1.2926	0.3395	0.55	0.4198	0.8313
0.0008	282.0	6486	1.2915	0.3447	0.5511	0.4241	0.8320
0.0007	283.0	6509	1.2848	0.3524	0.5544	0.4309	0.8327
0.0007	284.0	6532	1.2948	0.3491	0.55	0.4271	0.8301
0.0007	285.0	6555	1.2945	0.3492	0.5533	0.4282	0.8311
0.0007	286.0	6578	1.2921	0.3580	0.5544	0.4350	0.8316
0.0007	287.0	6601	1.2980	0.3462	0.5489	0.4246	0.8305
0.0007	288.0	6624	1.2962	0.3388	0.5478	0.4187	0.8310
0.0007	289.0	6647	1.2928	0.3416	0.5478	0.4208	0.8315
0.0007	290.0	6670	1.2891	0.3503	0.55	0.4280	0.8318
0.0007	291.0	6693	1.2905	0.3587	0.5544	0.4356	0.8317
0.0007	292.0	6716	1.2954	0.3559	0.55	0.4321	0.8312
0.0007	293.0	6739	1.2948	0.3510	0.5522	0.4292	0.8311
0.0007	294.0	6762	1.2944	0.3520	0.5522	0.4299	0.8311
0.0007	295.0	6785	1.2957	0.3499	0.5489	0.4273	0.8310
0.0007	296.0	6808	1.2960	0.3489	0.5478	0.4263	0.8311
0.0007	297.0	6831	1.2938	0.3481	0.55	0.4264	0.8319
0.0007	298.0	6854	1.2933	0.3447	0.55	0.4238	0.8317
0.0007	299.0	6877	1.2933	0.3456	0.5511	0.4248	0.8319
0.0007	300.0	6900	1.2935	0.3471	0.55	0.4256	0.8319

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 17, 2023
Updated: Mar 17, 2023