ht-stmini-cls-v5_ftis_noPretrain

Arthur-Tsai/ht-stmini-cls-v5_ftis_noPretrain

ht-stmini-cls-v5_ftis_noPretrain is a machine learning model from Arthur-Tsai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

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

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At a glance

Library: transformers
Model type: hierarchical-transformer
Access: Public
Created: Mar 16, 2025
Updated: Mar 17, 2025
SHA: f33377d7

Model card

From the Hugging Face model README

ht-stmini-cls-v5_ftis_noPretrain

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

Loss: 1.3000
Accuracy: 0.9272
Macro F1: 0.8168

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: 0.0001
train_batch_size: 8
eval_batch_size: 4
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 6731
training_steps: 134625

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Macro F1
39.0523	0.0010	134	52.3658	0.0192	0.0144
19.9515	1.0010	268	71.9333	0.0374	0.0220
8.4957	2.0010	402	139.0040	0.3365	0.0987
6.3789	3.0010	536	140.2098	0.4912	0.1288
5.5274	4.0010	670	147.3999	0.5315	0.1372
4.9195	5.0010	804	143.5312	0.5557	0.1437
4.5269	6.0010	938	120.0390	0.5758	0.1546
4.0494	7.0009	1072	96.1771	0.5955	0.1688
3.4113	8.0009	1206	81.7474	0.5993	0.1634
3.2065	9.0009	1340	68.5432	0.6065	0.1785
2.7838	10.0009	1474	53.7935	0.6243	0.1842
2.5902	11.0009	1608	40.3518	0.6337	0.1959
2.4947	12.0009	1742	32.1425	0.6467	0.2054
2.3588	13.0009	1876	27.6789	0.6504	0.2320
2.1493	14.0009	2010	22.3706	0.6565	0.2279
2.1335	15.0009	2144	19.4446	0.6654	0.2578
2.253	16.0009	2278	16.2849	0.6691	0.2667
2.0129	17.0009	2412	18.0807	0.6793	0.2982
2.0432	18.0009	2546	14.6836	0.6666	0.2912
1.9648	19.0009	2680	11.7976	0.6928	0.3374
1.7898	20.0008	2814	10.8913	0.6819	0.3416
1.8576	21.0008	2948	9.0905	0.7037	0.3591
1.6979	22.0008	3082	7.5339	0.7416	0.4171
1.6381	23.0008	3216	9.0976	0.7266	0.3976
1.4792	24.0008	3350	6.4023	0.7615	0.4209
1.4793	25.0008	3484	6.0096	0.7640	0.4459
1.4157	26.0008	3618	6.7467	0.7595	0.4287
1.3681	27.0008	3752	5.7555	0.7671	0.4613
1.3368	28.0008	3886	5.7131	0.7796	0.4759
1.1881	29.0008	4020	5.5416	0.7879	0.4955
1.1387	30.0008	4154	5.8302	0.7915	0.5046
1.1162	31.0008	4288	6.7847	0.7843	0.5085
1.0911	32.0008	4422	5.9018	0.8001	0.5348
1.0301	33.0008	4556	6.5437	0.7875	0.5176
1.0407	34.0007	4690	8.5621	0.8110	0.5459
0.9284	35.0007	4824	8.1019	0.8085	0.5479
0.9692	36.0007	4958	6.9357	0.8055	0.5574
0.8754	37.0007	5092	7.3272	0.8046	0.5530
0.8459	38.0007	5226	7.7159	0.8172	0.5701
0.7965	39.0007	5360	7.5089	0.8141	0.5599
0.7139	40.0007	5494	8.6612	0.8174	0.5755
0.7057	41.0007	5628	9.6205	0.8232	0.5919
0.6487	42.0007	5762	9.6446	0.8232	0.5844
0.643	43.0007	5896	10.2011	0.8243	0.5960
0.6548	44.0007	6030	10.1755	0.8273	0.5928
0.5564	45.0007	6164	11.3031	0.8304	0.6043
0.5699	46.0007	6298	10.6770	0.8344	0.6050
0.5299	47.0006	6432	12.4338	0.8268	0.6085
0.565	48.0006	6566	14.0859	0.8307	0.5972
0.5001	49.0006	6700	14.8551	0.8356	0.6143
0.4643	50.0006	6834	16.4590	0.8414	0.6315
0.442	51.0006	6968	17.8842	0.8418	0.6378
0.4351	52.0006	7102	19.3719	0.8433	0.6369
0.4226	53.0006	7236	18.7530	0.8473	0.6400
0.3881	54.0006	7370	21.8532	0.8484	0.6418
0.3774	55.0006	7504	16.5633	0.8480	0.6287
0.36	56.0006	7638	18.1293	0.8502	0.6471
0.3429	57.0006	7772	19.0161	0.8531	0.6513
0.3373	58.0006	7906	19.3353	0.8518	0.6573
0.3263	59.0006	8040	21.0814	0.8547	0.6525
0.2816	60.0005	8174	17.4154	0.8497	0.6564
0.2765	61.0005	8308	21.1508	0.8565	0.6641
0.2823	62.0005	8442	22.6267	0.8515	0.6572
0.2811	63.0005	8576	20.1157	0.8641	0.6653
0.2663	64.0005	8710	20.5757	0.8601	0.6709
0.2415	65.0005	8844	19.6797	0.8616	0.6683
0.2502	66.0005	8978	16.6027	0.8631	0.6730
0.218	67.0005	9112	17.1098	0.8656	0.6728
0.2515	68.0005	9246	16.9789	0.8595	0.6620
0.2126	69.0005	9380	20.6541	0.8647	0.6761
0.2016	70.0005	9514	22.0378	0.8709	0.6774
0.1878	71.0005	9648	17.1330	0.8672	0.6827
0.2049	72.0005	9782	16.9037	0.8684	0.6775
0.1688	73.0005	9916	16.4863	0.8727	0.6872
0.1587	74.0004	10050	20.1607	0.8736	0.6845
0.1604	75.0004	10184	17.3932	0.8720	0.6902
0.1521	76.0004	10318	15.9424	0.8714	0.6943
0.1525	77.0004	10452	14.6700	0.8714	0.6900
0.154	78.0004	10586	15.7277	0.8771	0.6906
0.1388	79.0004	10720	15.1074	0.8758	0.6966
0.1276	80.0004	10854	12.5542	0.8816	0.6979
0.1365	81.0004	10988	13.7476	0.8773	0.7055
0.1286	82.0004	11122	12.7662	0.8853	0.7051
0.1223	83.0004	11256	12.9591	0.8813	0.7052
0.1291	84.0004	11390	12.9219	0.8817	0.7098
0.111	85.0004	11524	12.1823	0.8824	0.7012
0.1076	86.0004	11658	10.6700	0.8823	0.7098
0.1074	87.0003	11792	11.8466	0.8872	0.7140
0.1009	88.0003	11926	11.2901	0.8853	0.7150
0.1	89.0003	12060	11.3183	0.8891	0.7197
0.0977	90.0003	12194	11.0782	0.8826	0.7132
0.089	91.0003	12328	10.8653	0.8898	0.7218
0.0835	92.0003	12462	11.2889	0.8836	0.7164
0.0875	93.0003	12596	11.0311	0.8884	0.7218
0.0857	94.0003	12730	10.1784	0.8894	0.7202
0.0868	95.0003	12864	10.1427	0.8891	0.7268
0.0772	96.0003	12998	9.3254	0.8878	0.7238
0.076	97.0003	13132	8.3007	0.8921	0.7284
0.0724	98.0003	13266	9.2218	0.8878	0.7216
0.0705	99.0003	13400	8.4691	0.8898	0.7326
0.069	100.0003	13534	7.1209	0.8942	0.7293
0.0651	101.0002	13668	7.7563	0.8933	0.7316
0.0626	102.0002	13802	8.0328	0.8862	0.7242
0.0664	103.0002	13936	8.0061	0.8953	0.7363
0.0645	104.0002	14070	9.6981	0.8956	0.7361
0.0602	105.0002	14204	7.2921	0.8926	0.7347
0.0619	106.0002	14338	8.2070	0.8955	0.7373
0.0575	107.0002	14472	8.7424	0.8942	0.7393
0.0649	108.0002	14606	8.5087	0.8965	0.7378
0.0492	109.0002	14740	7.1621	0.8982	0.7389
0.0542	110.0002	14874	7.6801	0.9016	0.7422
0.0518	111.0002	15008	6.8163	0.9010	0.7376
0.0498	112.0002	15142	6.4324	0.9016	0.7475
0.0487	113.0002	15276	7.5511	0.9033	0.7474
0.0443	114.0001	15410	5.7286	0.9019	0.7502
0.0446	115.0001	15544	5.8175	0.8999	0.7472
0.0476	116.0001	15678	6.1489	0.8989	0.7474
0.0447	117.0001	15812	8.2437	0.8994	0.7472
0.044	118.0001	15946	6.7214	0.9018	0.7532
0.045	119.0001	16080	6.1666	0.9002	0.7530
0.0423	120.0001	16214	6.3326	0.9022	0.7536
0.0442	121.0001	16348	6.5490	0.8998	0.7448
0.0424	122.0001	16482	6.3348	0.9066	0.7580
0.0403	123.0001	16616	6.0810	0.9043	0.7576
0.0365	124.0001	16750	6.9583	0.9056	0.7570
0.0375	125.0001	16884	6.5593	0.9074	0.7601
0.0345	126.0001	17018	5.5750	0.9068	0.7589
0.0353	127.0001	17152	6.2198	0.9059	0.7579
0.0386	128.0000	17286	6.1320	0.9060	0.7539
0.0368	129.0000	17420	5.3865	0.9086	0.7621
0.033	130.0000	17554	5.3535	0.9072	0.7617
0.0332	131.0000	17688	5.9329	0.9048	0.7630
0.0323	132.0000	17822	5.1753	0.9078	0.7614
0.0315	133.0000	17956	5.4086	0.9053	0.7615
0.0306	133.0010	18090	4.5198	0.9090	0.7613
0.0304	134.0010	18224	5.6032	0.9070	0.7615
0.0423	135.0010	18358	5.5332	0.9084	0.7594
0.0395	136.0010	18492	4.8763	0.9032	0.7654
0.0329	137.0010	18626	5.7165	0.9082	0.7587
0.0289	138.0010	18760	4.9225	0.9076	0.7658
0.0308	139.0010	18894	4.7419	0.9081	0.7696
0.03	140.0010	19028	4.6314	0.9052	0.7627
0.0264	141.0009	19162	4.4207	0.9090	0.7640
0.0277	142.0009	19296	4.9707	0.9104	0.7724
0.0263	143.0009	19430	4.2001	0.9088	0.7689
0.0269	144.0009	19564	4.5775	0.9091	0.7673
0.025	145.0009	19698	4.9878	0.9115	0.7717
0.0271	146.0009	19832	4.2928	0.9114	0.7725
0.0234	147.0009	19966	4.4128	0.9115	0.7735
0.0265	148.0009	20100	4.8077	0.9101	0.7677
0.0255	149.0009	20234	4.4393	0.9098	0.7729
0.0256	150.0009	20368	5.1826	0.9096	0.7705
0.0264	151.0009	20502	4.0985	0.9102	0.7680
0.0304	152.0009	20636	3.2267	0.9107	0.7679
0.022	153.0009	20770	3.8717	0.9133	0.7774
0.0228	154.0008	20904	4.3812	0.9113	0.7760
0.023	155.0008	21038	4.1898	0.9121	0.7784
0.0185	156.0008	21172	3.9918	0.9114	0.7730
0.0228	157.0008	21306	4.0469	0.9119	0.7755
0.0232	158.0008	21440	3.7123	0.9068	0.7779
0.0237	159.0008	21574	3.7984	0.9106	0.7759
0.0307	160.0008	21708	3.6696	0.9083	0.7711
0.0289	161.0008	21842	4.0185	0.9111	0.7811
0.0236	162.0008	21976	3.3598	0.9151	0.7822
0.0209	163.0008	22110	3.9037	0.9149	0.7838
0.0237	164.0008	22244	3.4134	0.9120	0.7786
0.0231	165.0008	22378	3.3466	0.9146	0.7815
0.0195	166.0008	22512	3.6364	0.9155	0.7837
0.0227	167.0008	22646	3.4472	0.9178	0.7850
0.0222	168.0007	22780	3.4440	0.9108	0.7765
0.02	169.0007	22914	3.7620	0.9152	0.7846
0.0183	170.0007	23048	3.8919	0.9151	0.7798
0.0167	171.0007	23182	3.3659	0.9148	0.7770
0.0204	172.0007	23316	3.3135	0.9161	0.7839
0.0177	173.0007	23450	3.3890	0.9175	0.7833
0.0296	174.0007	23584	3.0619	0.9134	0.7826
0.0241	175.0007	23718	2.8751	0.9165	0.7811
0.0189	176.0007	23852	2.8436	0.9149	0.7875
0.0217	177.0007	23986	2.7025	0.9176	0.7840
0.0161	178.0007	24120	2.9276	0.9122	0.7855
0.0152	179.0007	24254	2.6423	0.9191	0.7877
0.0158	180.0007	24388	3.1162	0.9180	0.7871
0.0189	181.0006	24522	2.6534	0.9171	0.7846
0.0154	182.0006	24656	2.9227	0.9180	0.7879
0.0148	183.0006	24790	2.7025	0.9187	0.7872
0.0143	184.0006	24924	2.8464	0.9186	0.7922
0.013	185.0006	25058	2.7526	0.9183	0.7874
0.0154	186.0006	25192	2.2446	0.9185	0.7880
0.0184	187.0006	25326	2.4972	0.9153	0.7853
0.0205	188.0006	25460	2.4605	0.9146	0.7873
0.0187	189.0006	25594	2.3251	0.9144	0.7891
0.0206	190.0006	25728	2.7646	0.9123	0.7823
0.0169	191.0006	25862	2.4740	0.9154	0.7854
0.0244	192.0006	25996	2.7395	0.9135	0.7836
0.0207	193.0006	26130	2.3811	0.9168	0.7862
0.0149	194.0005	26264	2.6213	0.9200	0.7923
0.0155	195.0005	26398	2.6023	0.9127	0.7889
0.0135	196.0005	26532	2.6357	0.9192	0.7939
0.0143	197.0005	26666	2.1355	0.9194	0.7929
0.0121	198.0005	26800	2.4865	0.9134	0.7892
0.0127	199.0005	26934	2.3585	0.9185	0.7918
0.0135	200.0005	27068	2.2688	0.9171	0.7921
0.0116	201.0005	27202	2.2013	0.9173	0.7927
0.0141	202.0005	27336	2.2811	0.9192	0.7941
0.0151	203.0005	27470	1.7467	0.9159	0.7923
0.0151	204.0005	27604	1.9715	0.9175	0.7892
0.0146	205.0005	27738	2.2017	0.9199	0.7942
0.0115	206.0005	27872	2.0835	0.9203	0.7931
0.0108	207.0005	28006	2.3497	0.9202	0.7964
0.0128	208.0004	28140	1.8878	0.9208	0.7938
0.0123	209.0004	28274	1.9811	0.9211	0.7931
0.0111	210.0004	28408	1.8086	0.9222	0.7960
0.0111	211.0004	28542	2.2937	0.9189	0.7921
0.0115	212.0004	28676	2.1710	0.9208	0.7977
0.0112	213.0004	28810	2.0946	0.9218	0.7974
0.0121	214.0004	28944	1.8190	0.9181	0.7927
0.0117	215.0004	29078	2.2538	0.9197	0.7969
0.0141	216.0004	29212	1.8443	0.9055	0.7891
0.0199	217.0004	29346	1.7172	0.9198	0.7919
0.0191	218.0004	29480	1.9764	0.9176	0.7874
0.0146	219.0004	29614	1.9391	0.9160	0.7866
0.0136	220.0004	29748	1.7695	0.9231	0.7969
0.0117	221.0003	29882	1.8876	0.9223	0.7965
0.0123	222.0003	30016	1.9440	0.9187	0.7909
0.0092	223.0003	30150	1.5684	0.9219	0.7984
0.0117	224.0003	30284	1.6587	0.9206	0.7954
0.0102	225.0003	30418	1.6542	0.9200	0.7942
0.0125	226.0003	30552	1.8557	0.9154	0.7914
0.0107	227.0003	30686	1.6709	0.9208	0.7968
0.0106	228.0003	30820	1.6791	0.9202	0.7992
0.0105	229.0003	30954	1.5999	0.9198	0.8003
0.0102	230.0003	31088	1.6720	0.9227	0.7995
0.0082	231.0003	31222	1.5703	0.9215	0.8010
0.0084	232.0003	31356	1.6492	0.9223	0.7972
0.008	233.0003	31490	1.3990	0.9236	0.8014
0.0076	234.0003	31624	1.6785	0.9194	0.8022
0.0093	235.0002	31758	1.9580	0.9188	0.7982
0.0103	236.0002	31892	1.8489	0.9189	0.7987
0.01	237.0002	32026	1.6039	0.9202	0.7988
0.01	238.0002	32160	1.9184	0.9186	0.7940
0.0114	239.0002	32294	1.8232	0.9202	0.7943
0.0121	240.0002	32428	1.4011	0.9232	0.8022
0.0093	241.0002	32562	1.8048	0.9242	0.7988
0.011	242.0002	32696	1.5947	0.9242	0.7977
0.0109	243.0002	32830	1.7446	0.9237	0.8003
0.0101	244.0002	32964	1.7928	0.9229	0.8016
0.0096	245.0002	33098	1.8007	0.9224	0.7975
0.0086	246.0002	33232	1.7650	0.9194	0.7937
0.0084	247.0002	33366	1.8629	0.9225	0.8019
0.0093	248.0001	33500	1.6393	0.9229	0.7990
0.008	249.0001	33634	1.8778	0.9237	0.8024
0.0077	250.0001	33768	1.8324	0.9229	0.8035
0.007	251.0001	33902	1.8483	0.9241	0.8041
0.0075	252.0001	34036	1.7128	0.9223	0.8031
0.0115	253.0001	34170	1.6841	0.9194	0.7949
0.0204	254.0001	34304	1.7634	0.9205	0.7971
0.0104	255.0001	34438	1.7727	0.9181	0.7985
0.0093	256.0001	34572	1.6515	0.9213	0.8006
0.0113	257.0001	34706	1.4970	0.9178	0.8009
0.0086	258.0001	34840	1.7100	0.9216	0.8063
0.0091	259.0001	34974	1.5858	0.9188	0.8016
0.0101	260.0001	35108	1.6991	0.9229	0.8054
0.0079	261.0001	35242	1.4059	0.9244	0.8060
0.0062	262.0000	35376	1.5996	0.9246	0.8078
0.0057	263.0000	35510	1.3898	0.9246	0.8062
0.0055	264.0000	35644	1.4617	0.9251	0.8069
0.0055	265.0000	35778	1.4686	0.9248	0.8070
0.0057	266.0000	35912	1.7070	0.9242	0.8063
0.0055	267.0000	36046	1.6393	0.9242	0.8051
0.0073	267.0010	36180	1.6124	0.9222	0.8042
0.007	268.0010	36314	1.5810	0.9240	0.8024
0.0074	269.0010	36448	1.3755	0.9235	0.8048
0.0068	270.0010	36582	1.3830	0.9211	0.7962
0.0066	271.0010	36716	1.4750	0.9235	0.8061
0.0052	272.0010	36850	1.4766	0.9241	0.8062
0.0056	273.0010	36984	1.5242	0.9239	0.8024
0.0059	274.0010	37118	1.5207	0.9231	0.8053
0.0086	275.0009	37252	1.4856	0.9201	0.8042
0.008	276.0009	37386	1.4347	0.9236	0.8060
0.0114	277.0009	37520	1.6224	0.9219	0.7991
0.0059	278.0009	37654	1.4074	0.9242	0.8061
0.0063	279.0009	37788	1.4079	0.9240	0.8040
0.0059	280.0009	37922	1.6559	0.9207	0.8078
0.0054	281.0009	38056	1.6093	0.9240	0.8068
0.0047	282.0009	38190	1.8396	0.9248	0.8067
0.0047	283.0009	38324	1.5261	0.9246	0.8082
0.0048	284.0009	38458	1.6071	0.9247	0.8089
0.0094	285.0009	38592	1.6095	0.9249	0.8076
0.0053	286.0009	38726	1.5538	0.9242	0.8076
0.0061	287.0009	38860	1.3137	0.9259	0.8070
0.0043	288.0008	38994	1.4907	0.9247	0.8083
0.0055	289.0008	39128	1.5622	0.9245	0.8037
0.0045	290.0008	39262	1.6495	0.9249	0.8068
0.0064	291.0008	39396	1.2838	0.9222	0.8032
0.0069	292.0008	39530	1.4067	0.9236	0.8041
0.0047	293.0008	39664	1.4446	0.9259	0.8079
0.0042	294.0008	39798	1.3973	0.9252	0.8079
0.0041	295.0008	39932	1.3834	0.9256	0.8082
0.0039	296.0008	40066	1.3530	0.9263	0.8092
0.0041	297.0008	40200	1.4282	0.9238	0.8077
0.0038	298.0008	40334	1.5258	0.9249	0.8077
0.0038	299.0008	40468	1.4273	0.9247	0.8060
0.0042	300.0008	40602	1.4276	0.9246	0.8071
0.007	301.0008	40736	1.3842	0.9229	0.8029
0.0068	302.0007	40870	1.4377	0.9204	0.8033
0.0062	303.0007	41004	1.5332	0.9246	0.8079
0.0107	304.0007	41138	1.4746	0.9232	0.8050
0.0056	305.0007	41272	1.9926	0.9269	0.8093
0.0095	306.0007	41406	1.5743	0.9253	0.8078
0.0038	307.0007	41540	1.5877	0.9254	0.8088
0.0038	308.0007	41674	1.5803	0.9262	0.8114
0.0042	309.0007	41808	1.3739	0.9271	0.8103
0.0039	310.0007	41942	1.5303	0.9240	0.8069
0.0036	311.0007	42076	1.4616	0.9256	0.8096
0.0031	312.0007	42210	1.4048	0.9256	0.8090
0.0035	313.0007	42344	1.3424	0.9260	0.8114
0.0028	314.0007	42478	1.3785	0.9254	0.8086
0.0113	315.0006	42612	1.4007	0.9213	0.8009
0.0165	316.0006	42746	1.3956	0.9243	0.8058
0.0122	317.0006	42880	1.3770	0.9245	0.8080
0.0055	318.0006	43014	1.4445	0.9267	0.8124
0.0039	319.0006	43148	1.5316	0.9255	0.8111
0.0031	320.0006	43282	1.4297	0.9268	0.8154
0.003	321.0006	43416	1.4475	0.9268	0.8141
0.0032	322.0006	43550	1.3949	0.9270	0.8125
0.0029	323.0006	43684	1.4964	0.9260	0.8114
0.0032	324.0006	43818	1.3990	0.9262	0.8140
0.003	325.0006	43952	1.4509	0.9263	0.8124
0.0027	326.0006	44086	1.3893	0.9270	0.8130
0.0027	327.0006	44220	1.6966	0.9269	0.8121
0.0032	328.0005	44354	1.5232	0.9268	0.8120
0.0031	329.0005	44488	1.4071	0.9262	0.8109
0.0032	330.0005	44622	1.4956	0.9271	0.8117
0.0027	331.0005	44756	1.3842	0.9264	0.8114
0.0035	332.0005	44890	1.4976	0.9265	0.8091
0.0066	333.0005	45024	1.5594	0.9253	0.8093
0.0085	334.0005	45158	1.3968	0.9238	0.8087
0.0066	335.0005	45292	1.4132	0.9234	0.8080
0.0041	336.0005	45426	1.5975	0.9241	0.8112
0.0039	337.0005	45560	1.3680	0.9250	0.8138
0.003	338.0005	45694	1.5589	0.9275	0.8161
0.0033	339.0005	45828	1.5510	0.9264	0.8143
0.0028	340.0005	45962	1.4466	0.9265	0.8136
0.0028	341.0005	46096	1.4176	0.9260	0.8132
0.0031	342.0004	46230	1.4991	0.9258	0.8134
0.0029	343.0004	46364	1.5115	0.9253	0.8094
0.0032	344.0004	46498	1.5152	0.9254	0.8106
0.0057	345.0004	46632	1.4506	0.9264	0.8110
0.0031	346.0004	46766	1.4077	0.9263	0.8112
0.0044	347.0004	46900	1.4102	0.9248	0.8097
0.0048	348.0004	47034	1.7072	0.9218	0.8048
0.007	349.0004	47168	1.5965	0.9184	0.8043
0.0046	350.0004	47302	1.3849	0.9268	0.8110
0.0043	351.0004	47436	1.4400	0.9261	0.8118
0.0026	352.0004	47570	1.4149	0.9271	0.8149
0.0031	353.0004	47704	1.4405	0.9259	0.8126
0.0028	354.0004	47838	1.2883	0.9271	0.8131
0.0026	355.0003	47972	1.4756	0.9267	0.8129
0.0021	356.0003	48106	1.3547	0.9273	0.8153
0.0027	357.0003	48240	1.4704	0.9269	0.8134
0.0027	358.0003	48374	1.3227	0.9277	0.8163
0.0025	359.0003	48508	1.3849	0.9264	0.8071
0.0027	360.0003	48642	1.3621	0.9272	0.8168
0.003	361.0003	48776	1.3991	0.9272	0.8143
0.0028	362.0003	48910	1.2591	0.9274	0.8106
0.0031	363.0003	49044	1.2625	0.9262	0.8114
0.0046	364.0003	49178	1.4154	0.9254	0.8113
0.0074	365.0003	49312	1.2936	0.9250	0.8105
0.0034	366.0003	49446	1.2554	0.9267	0.8119
0.0029	367.0003	49580	1.3923	0.9256	0.8128
0.0022	368.0003	49714	1.5373	0.9270	0.8118
0.0022	369.0002	49848	1.3647	0.9272	0.8129
0.0022	370.0002	49982	1.4780	0.9275	0.8149
0.0022	371.0002	50116	1.3367	0.9269	0.8144
0.0026	372.0002	50250	1.5623	0.9260	0.8126
0.0021	373.0002	50384	1.2917	0.9276	0.8130
0.0044	374.0002	50518	1.2885	0.9239	0.8038
0.0038	375.0002	50652	1.4296	0.9233	0.8060
0.0043	376.0002	50786	1.4320	0.9238	0.8128
0.0039	377.0002	50920	1.4901	0.9275	0.8167
0.0079	378.0002	51054	1.4210	0.9222	0.8067
0.0082	379.0002	51188	1.2933	0.9190	0.7993
0.0038	380.0002	51322	1.2942	0.9255	0.8129

Framework versions

Transformers 4.46.0
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.20.1

Library: transformers
Type: hierarchical-transformer
Created: Mar 16, 2025
Updated: Mar 17, 2025