tunned_albert_model2

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

• Loss: 0.0275
• Accuracy: 1.0
• Precision: 1.0
• Recall: 1.0
• F1: 1.0

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: 32
• eval_batch_size: 32
• 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
• num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.6954	0.3333	3	0.6878	0.8	0.8038	0.7873	0.7917
0.6833	0.6667	6	0.6773	0.5667	0.2833	0.5	0.3617
0.6695	1.0	9	0.6654	0.5667	0.2833	0.5	0.3617
0.6532	1.3333	12	0.6557	0.5667	0.2833	0.5	0.3617
0.6669	1.6667	15	0.6469	0.5667	0.2833	0.5	0.3617
0.652	2.0	18	0.6333	0.5667	0.2833	0.5	0.3617
0.6134	2.3333	21	0.6109	0.5667	0.2833	0.5	0.3617
0.5863	2.6667	24	0.5836	0.6	0.6296	0.5475	0.4886
0.5766	3.0	27	0.5563	0.6667	0.72	0.6244	0.6032
0.5285	3.3333	30	0.5302	0.7333	0.7764	0.7014	0.7
0.5476	3.6667	33	0.5070	0.7667	0.8011	0.7398	0.7436
0.4637	4.0	36	0.4830	0.8333	0.8500	0.8167	0.8237
0.469	4.3333	39	0.4656	0.8333	0.8500	0.8167	0.8237
0.4471	4.6667	42	0.4441	0.8333	0.8500	0.8167	0.8237
0.4235	5.0	45	0.4154	0.8667	0.8756	0.8552	0.8611
0.4401	5.3333	48	0.3934	0.9	0.9028	0.8937	0.8971
0.3664	5.6667	51	0.3736	0.8667	0.8756	0.8552	0.8611
0.3439	6.0	54	0.3777	0.8667	0.8756	0.8552	0.8611
0.3148	6.3333	57	0.3944	0.8333	0.8500	0.8167	0.8237
0.3827	6.6667	60	0.3624	0.8667	0.8756	0.8552	0.8611
0.3243	7.0	63	0.3175	0.9	0.9028	0.8937	0.8971
0.3449	7.3333	66	0.3008	0.9333	0.9321	0.9321	0.9321
0.2895	7.6667	69	0.2910	0.9333	0.9321	0.9321	0.9321
0.2867	8.0	72	0.3103	0.9	0.9028	0.8937	0.8971
0.3041	8.3333	75	0.3456	0.8667	0.8756	0.8552	0.8611
0.2793	8.6667	78	0.3280	0.9	0.9028	0.8937	0.8971
0.2609	9.0	81	0.2865	0.9	0.9028	0.8937	0.8971
0.2499	9.3333	84	0.2559	0.9	0.9028	0.8937	0.8971
0.2298	9.6667	87	0.2587	0.9	0.9028	0.8937	0.8971
0.2297	10.0	90	0.3077	0.9	0.9028	0.8937	0.8971
0.2286	10.3333	93	0.3392	0.8667	0.8756	0.8552	0.8611
0.2415	10.6667	96	0.3521	0.8333	0.8500	0.8167	0.8237
0.2151	11.0	99	0.2810	0.9	0.9028	0.8937	0.8971
0.1832	11.3333	102	0.2411	0.9333	0.9321	0.9321	0.9321
0.2159	11.6667	105	0.2552	0.9	0.9028	0.8937	0.8971
0.1732	12.0	108	0.2748	0.9	0.9028	0.8937	0.8971
0.1712	12.3333	111	0.2500	0.9	0.9028	0.8937	0.8971
0.1728	12.6667	114	0.2306	0.9333	0.9321	0.9321	0.9321
0.1295	13.0	117	0.2173	0.9333	0.9321	0.9321	0.9321
0.1377	13.3333	120	0.2244	0.9333	0.9321	0.9321	0.9321
0.113	13.6667	123	0.2151	0.9333	0.9321	0.9321	0.9321
0.1386	14.0	126	0.1908	0.9333	0.9321	0.9321	0.9321
0.1004	14.3333	129	0.1701	0.9333	0.9321	0.9321	0.9321
0.1525	14.6667	132	0.1809	0.9333	0.9321	0.9321	0.9321
0.0799	15.0	135	0.2101	0.9333	0.9321	0.9321	0.9321
0.0544	15.3333	138	0.1978	0.9333	0.9321	0.9321	0.9321
0.1573	15.6667	141	0.1659	0.9333	0.9321	0.9321	0.9321
0.0695	16.0	144	0.1742	0.9333	0.9321	0.9321	0.9321
0.1158	16.3333	147	0.1831	0.9333	0.9321	0.9321	0.9321
0.0427	16.6667	150	0.1980	0.9333	0.9321	0.9321	0.9321
0.0883	17.0	153	0.2152	0.9333	0.9321	0.9321	0.9321
0.0705	17.3333	156	0.2301	0.9333	0.9321	0.9321	0.9321
0.0711	17.6667	159	0.2214	0.9333	0.9321	0.9321	0.9321
0.0607	18.0	162	0.1914	0.9333	0.9321	0.9321	0.9321
0.0671	18.3333	165	0.1565	0.9333	0.9321	0.9321	0.9321
0.0803	18.6667	168	0.1608	0.9333	0.9321	0.9321	0.9321
0.0275	19.0	171	0.1890	0.9333	0.9321	0.9321	0.9321
0.072	19.3333	174	0.2328	0.9	0.9028	0.8937	0.8971
0.0468	19.6667	177	0.1891	0.9333	0.9321	0.9321	0.9321
0.0418	20.0	180	0.1773	0.9333	0.9321	0.9321	0.9321
0.0547	20.3333	183	0.1812	0.9333	0.9321	0.9321	0.9321
0.0211	20.6667	186	0.1740	0.9333	0.9321	0.9321	0.9321
0.0551	21.0	189	0.1685	0.9333	0.9321	0.9321	0.9321
0.0196	21.3333	192	0.1641	0.9333	0.9321	0.9321	0.9321
0.0469	21.6667	195	0.1629	0.9667	0.9722	0.9615	0.9657
0.0433	22.0	198	0.1651	0.9667	0.9722	0.9615	0.9657
0.0404	22.3333	201	0.1691	0.9667	0.9722	0.9615	0.9657
0.0348	22.6667	204	0.1731	0.9667	0.9722	0.9615	0.9657
0.018	23.0	207	0.1715	0.9667	0.9722	0.9615	0.9657
0.0211	23.3333	210	0.1668	0.9667	0.9722	0.9615	0.9657
0.0299	23.6667	213	0.1628	0.9667	0.9722	0.9615	0.9657
0.0219	24.0	216	0.1627	0.9667	0.9722	0.9615	0.9657
0.0119	24.3333	219	0.1627	0.9333	0.9321	0.9321	0.9321
0.0143	24.6667	222	0.1625	0.9333	0.9321	0.9321	0.9321
0.042	25.0	225	0.1627	0.9667	0.9722	0.9615	0.9657
0.0122	25.3333	228	0.1634	0.9667	0.9722	0.9615	0.9657
0.0215	25.6667	231	0.1632	0.9667	0.9722	0.9615	0.9657
0.0106	26.0	234	0.1579	0.9667	0.9722	0.9615	0.9657
0.0185	26.3333	237	0.1495	0.9667	0.9722	0.9615	0.9657
0.0102	26.6667	240	0.1406	0.9667	0.9722	0.9615	0.9657
0.0098	27.0	243	0.1297	0.9667	0.9722	0.9615	0.9657
0.0094	27.3333	246	0.1162	0.9667	0.9722	0.9615	0.9657
0.0158	27.6667	249	0.1127	0.9667	0.9722	0.9615	0.9657
0.0083	28.0	252	0.1165	0.9667	0.9722	0.9615	0.9657
0.0082	28.3333	255	0.1188	0.9667	0.9722	0.9615	0.9657
0.0083	28.6667	258	0.1178	0.9667	0.9722	0.9615	0.9657
0.0136	29.0	261	0.1239	0.9667	0.9722	0.9615	0.9657
0.008	29.3333	264	0.1270	0.9667	0.9722	0.9615	0.9657
0.0073	29.6667	267	0.1229	0.9667	0.9722	0.9615	0.9657
0.0126	30.0	270	0.1256	0.9667	0.9722	0.9615	0.9657
0.0071	30.3333	273	0.1258	0.9667	0.9722	0.9615	0.9657
0.0113	30.6667	276	0.1282	0.9667	0.9722	0.9615	0.9657
0.0066	31.0	279	0.1300	0.9667	0.9722	0.9615	0.9657
0.0066	31.3333	282	0.1273	0.9667	0.9722	0.9615	0.9657
0.007	31.6667	285	0.1164	0.9667	0.9722	0.9615	0.9657
0.0134	32.0	288	0.1143	0.9667	0.9722	0.9615	0.9657
0.0061	32.3333	291	0.1240	0.9667	0.9722	0.9615	0.9657
0.0075	32.6667	294	0.1392	0.9667	0.9722	0.9615	0.9657
0.0076	33.0	297	0.1301	0.9667	0.9722	0.9615	0.9657
0.0058	33.3333	300	0.0953	0.9667	0.9722	0.9615	0.9657
0.0055	33.6667	303	0.0573	0.9667	0.9722	0.9615	0.9657
0.0061	34.0	306	0.0387	0.9667	0.9722	0.9615	0.9657
0.0059	34.3333	309	0.0329	0.9667	0.9722	0.9615	0.9657
0.0051	34.6667	312	0.0350	0.9667	0.9722	0.9615	0.9657
0.0053	35.0	315	0.0379	0.9667	0.9722	0.9615	0.9657
0.0052	35.3333	318	0.0379	0.9667	0.9722	0.9615	0.9657
0.005	35.6667	321	0.0389	0.9667	0.9722	0.9615	0.9657
0.0052	36.0	324	0.0409	0.9667	0.9722	0.9615	0.9657
0.0049	36.3333	327	0.0408	0.9667	0.9722	0.9615	0.9657
0.005	36.6667	330	0.0405	0.9667	0.9722	0.9615	0.9657
0.0046	37.0	333	0.0393	0.9667	0.9722	0.9615	0.9657
0.0044	37.3333	336	0.0367	0.9667	0.9722	0.9615	0.9657
0.0047	37.6667	339	0.0342	0.9667	0.9722	0.9615	0.9657
0.0045	38.0	342	0.0316	0.9667	0.9722	0.9615	0.9657
0.0044	38.3333	345	0.0286	1.0	1.0	1.0	1.0
0.0041	38.6667	348	0.0275	1.0	1.0	1.0	1.0
0.0044	39.0	351	0.0283	1.0	1.0	1.0	1.0
0.0044	39.3333	354	0.0307	0.9667	0.9722	0.9615	0.9657
0.0041	39.6667	357	0.0327	0.9667	0.9722	0.9615	0.9657
0.0039	40.0	360	0.0344	0.9667	0.9722	0.9615	0.9657
0.0039	40.3333	363	0.0363	0.9667	0.9722	0.9615	0.9657
0.004	40.6667	366	0.0381	0.9667	0.9722	0.9615	0.9657
0.0041	41.0	369	0.0375	0.9667	0.9722	0.9615	0.9657
0.004	41.3333	372	0.0365	0.9667	0.9722	0.9615	0.9657
0.0037	41.6667	375	0.0358	0.9667	0.9722	0.9615	0.9657
0.0038	42.0	378	0.0364	0.9667	0.9722	0.9615	0.9657
0.0037	42.3333	381	0.0383	0.9667	0.9722	0.9615	0.9657
0.0039	42.6667	384	0.0394	0.9667	0.9722	0.9615	0.9657
0.0036	43.0	387	0.0398	0.9667	0.9722	0.9615	0.9657
0.0035	43.3333	390	0.0414	0.9667	0.9722	0.9615	0.9657
0.0035	43.6667	393	0.0429	0.9667	0.9722	0.9615	0.9657
0.0035	44.0	396	0.0423	0.9667	0.9722	0.9615	0.9657
0.0035	44.3333	399	0.0408	0.9667	0.9722	0.9615	0.9657
0.0035	44.6667	402	0.0393	0.9667	0.9722	0.9615	0.9657
0.0034	45.0	405	0.0387	0.9667	0.9722	0.9615	0.9657
0.0033	45.3333	408	0.0388	0.9667	0.9722	0.9615	0.9657
0.0034	45.6667	411	0.0392	0.9667	0.9722	0.9615	0.9657
0.0033	46.0	414	0.0386	0.9667	0.9722	0.9615	0.9657
0.0032	46.3333	417	0.0385	0.9667	0.9722	0.9615	0.9657
0.0033	46.6667	420	0.0374	0.9667	0.9722	0.9615	0.9657
0.0032	47.0	423	0.0362	0.9667	0.9722	0.9615	0.9657
0.0032	47.3333	426	0.0355	0.9667	0.9722	0.9615	0.9657
0.003	47.6667	429	0.0347	0.9667	0.9722	0.9615	0.9657
0.0029	48.0	432	0.0344	0.9667	0.9722	0.9615	0.9657
0.003	48.3333	435	0.0347	0.9667	0.9722	0.9615	0.9657
0.003	48.6667	438	0.0350	0.9667	0.9722	0.9615	0.9657
0.003	49.0	441	0.0352	0.9667	0.9722	0.9615	0.9657
0.0029	49.3333	444	0.0358	0.9667	0.9722	0.9615	0.9657
0.003	49.6667	447	0.0364	0.9667	0.9722	0.9615	0.9657
0.0029	50.0	450	0.0369	0.9667	0.9722	0.9615	0.9657
0.003	50.3333	453	0.0380	0.9667	0.9722	0.9615	0.9657
0.0027	50.6667	456	0.0398	0.9667	0.9722	0.9615	0.9657
0.0028	51.0	459	0.0396	0.9667	0.9722	0.9615	0.9657
0.0028	51.3333	462	0.0382	0.9667	0.9722	0.9615	0.9657
0.0028	51.6667	465	0.0365	0.9667	0.9722	0.9615	0.9657
0.0028	52.0	468	0.0357	0.9667	0.9722	0.9615	0.9657
0.0028	52.3333	471	0.0357	0.9667	0.9722	0.9615	0.9657
0.0026	52.6667	474	0.0360	0.9667	0.9722	0.9615	0.9657
0.0027	53.0	477	0.0363	0.9667	0.9722	0.9615	0.9657
0.0027	53.3333	480	0.0379	0.9667	0.9722	0.9615	0.9657
0.0027	53.6667	483	0.0378	0.9667	0.9722	0.9615	0.9657
0.0026	54.0	486	0.0375	0.9667	0.9722	0.9615	0.9657
0.0027	54.3333	489	0.0372	0.9667	0.9722	0.9615	0.9657
0.0024	54.6667	492	0.0369	0.9667	0.9722	0.9615	0.9657
0.0024	55.0	495	0.0367	0.9667	0.9722	0.9615	0.9657
0.0025	55.3333	498	0.0368	0.9667	0.9722	0.9615	0.9657
0.0025	55.6667	501	0.0369	0.9667	0.9722	0.9615	0.9657
0.0025	56.0	504	0.0367	0.9667	0.9722	0.9615	0.9657
0.0024	56.3333	507	0.0360	0.9667	0.9722	0.9615	0.9657
0.0025	56.6667	510	0.0362	0.9667	0.9722	0.9615	0.9657
0.0024	57.0	513	0.0358	0.9667	0.9722	0.9615	0.9657
0.0024	57.3333	516	0.0360	0.9667	0.9722	0.9615	0.9657
0.0024	57.6667	519	0.0356	0.9667	0.9722	0.9615	0.9657
0.0026	58.0	522	0.0354	0.9667	0.9722	0.9615	0.9657
0.0024	58.3333	525	0.0361	0.9667	0.9722	0.9615	0.9657
0.0023	58.6667	528	0.0357	0.9667	0.9722	0.9615	0.9657
0.0023	59.0	531	0.0349	0.9667	0.9722	0.9615	0.9657
0.0023	59.3333	534	0.0347	0.9667	0.9722	0.9615	0.9657
0.0023	59.6667	537	0.0335	0.9667	0.9722	0.9615	0.9657
0.0023	60.0	540	0.0337	0.9667	0.9722	0.9615	0.9657
0.0021	60.3333	543	0.0346	0.9667	0.9722	0.9615	0.9657
0.0023	60.6667	546	0.0352	0.9667	0.9722	0.9615	0.9657
0.0022	61.0	549	0.0351	0.9667	0.9722	0.9615	0.9657
0.0022	61.3333	552	0.0348	0.9667	0.9722	0.9615	0.9657
0.0022	61.6667	555	0.0343	0.9667	0.9722	0.9615	0.9657
0.0023	62.0	558	0.0343	0.9667	0.9722	0.9615	0.9657
0.0022	62.3333	561	0.0345	0.9667	0.9722	0.9615	0.9657
0.0022	62.6667	564	0.0341	0.9667	0.9722	0.9615	0.9657
0.0021	63.0	567	0.0345	0.9667	0.9722	0.9615	0.9657
0.0022	63.3333	570	0.0346	0.9667	0.9722	0.9615	0.9657
0.0021	63.6667	573	0.0349	0.9667	0.9722	0.9615	0.9657
0.0022	64.0	576	0.0351	0.9667	0.9722	0.9615	0.9657
0.0021	64.3333	579	0.0353	0.9667	0.9722	0.9615	0.9657
0.0021	64.6667	582	0.0361	0.9667	0.9722	0.9615	0.9657
0.0021	65.0	585	0.0360	0.9667	0.9722	0.9615	0.9657
0.0021	65.3333	588	0.0354	0.9667	0.9722	0.9615	0.9657
0.0021	65.6667	591	0.0353	0.9667	0.9722	0.9615	0.9657
0.0021	66.0	594	0.0346	0.9667	0.9722	0.9615	0.9657
0.0021	66.3333	597	0.0340	0.9667	0.9722	0.9615	0.9657
0.0021	66.6667	600	0.0337	0.9667	0.9722	0.9615	0.9657
0.002	67.0	603	0.0336	0.9667	0.9722	0.9615	0.9657
0.0019	67.3333	606	0.0335	0.9667	0.9722	0.9615	0.9657
0.0021	67.6667	609	0.0334	0.9667	0.9722	0.9615	0.9657
0.0021	68.0	612	0.0334	0.9667	0.9722	0.9615	0.9657
0.0021	68.3333	615	0.0335	0.9667	0.9722	0.9615	0.9657
0.002	68.6667	618	0.0334	0.9667	0.9722	0.9615	0.9657
0.002	69.0	621	0.0333	0.9667	0.9722	0.9615	0.9657
0.002	69.3333	624	0.0331	0.9667	0.9722	0.9615	0.9657
0.0018	69.6667	627	0.0335	0.9667	0.9722	0.9615	0.9657
0.0019	70.0	630	0.0333	0.9667	0.9722	0.9615	0.9657
0.002	70.3333	633	0.0329	0.9667	0.9722	0.9615	0.9657
0.0019	70.6667	636	0.0326	0.9667	0.9722	0.9615	0.9657
0.002	71.0	639	0.0329	0.9667	0.9722	0.9615	0.9657
0.002	71.3333	642	0.0333	0.9667	0.9722	0.9615	0.9657
0.0019	71.6667	645	0.0336	0.9667	0.9722	0.9615	0.9657
0.0019	72.0	648	0.0331	0.9667	0.9722	0.9615	0.9657
0.0019	72.3333	651	0.0325	0.9667	0.9722	0.9615	0.9657
0.0019	72.6667	654	0.0318	0.9667	0.9722	0.9615	0.9657
0.0019	73.0	657	0.0313	0.9667	0.9722	0.9615	0.9657
0.0018	73.3333	660	0.0314	0.9667	0.9722	0.9615	0.9657
0.0019	73.6667	663	0.0314	0.9667	0.9722	0.9615	0.9657
0.0018	74.0	666	0.0313	0.9667	0.9722	0.9615	0.9657
0.0019	74.3333	669	0.0315	0.9667	0.9722	0.9615	0.9657
0.0018	74.6667	672	0.0318	0.9667	0.9722	0.9615	0.9657
0.0018	75.0	675	0.0320	0.9667	0.9722	0.9615	0.9657
0.0019	75.3333	678	0.0318	0.9667	0.9722	0.9615	0.9657
0.0019	75.6667	681	0.0317	0.9667	0.9722	0.9615	0.9657
0.0018	76.0	684	0.0316	0.9667	0.9722	0.9615	0.9657
0.0019	76.3333	687	0.0315	0.9667	0.9722	0.9615	0.9657
0.0018	76.6667	690	0.0310	0.9667	0.9722	0.9615	0.9657
0.0018	77.0	693	0.0307	0.9667	0.9722	0.9615	0.9657
0.0018	77.3333	696	0.0305	0.9667	0.9722	0.9615	0.9657
0.0018	77.6667	699	0.0304	0.9667	0.9722	0.9615	0.9657
0.0019	78.0	702	0.0304	0.9667	0.9722	0.9615	0.9657
0.0018	78.3333	705	0.0305	0.9667	0.9722	0.9615	0.9657
0.0018	78.6667	708	0.0307	0.9667	0.9722	0.9615	0.9657
0.0018	79.0	711	0.0306	0.9667	0.9722	0.9615	0.9657
0.0017	79.3333	714	0.0309	0.9667	0.9722	0.9615	0.9657
0.0018	79.6667	717	0.0312	0.9667	0.9722	0.9615	0.9657
0.0017	80.0	720	0.0312	0.9667	0.9722	0.9615	0.9657
0.0018	80.3333	723	0.0309	0.9667	0.9722	0.9615	0.9657
0.0017	80.6667	726	0.0310	0.9667	0.9722	0.9615	0.9657
0.0017	81.0	729	0.0311	0.9667	0.9722	0.9615	0.9657
0.0017	81.3333	732	0.0314	0.9667	0.9722	0.9615	0.9657
0.0017	81.6667	735	0.0316	0.9667	0.9722	0.9615	0.9657
0.0018	82.0	738	0.0316	0.9667	0.9722	0.9615	0.9657
0.0018	82.3333	741	0.0312	0.9667	0.9722	0.9615	0.9657
0.0017	82.6667	744	0.0309	0.9667	0.9722	0.9615	0.9657
0.0017	83.0	747	0.0308	0.9667	0.9722	0.9615	0.9657
0.0017	83.3333	750	0.0307	0.9667	0.9722	0.9615	0.9657
0.0017	83.6667	753	0.0308	0.9667	0.9722	0.9615	0.9657
0.0017	84.0	756	0.0307	0.9667	0.9722	0.9615	0.9657
0.0017	84.3333	759	0.0303	0.9667	0.9722	0.9615	0.9657
0.0018	84.6667	762	0.0299	0.9667	0.9722	0.9615	0.9657
0.0017	85.0	765	0.0298	0.9667	0.9722	0.9615	0.9657
0.0018	85.3333	768	0.0296	0.9667	0.9722	0.9615	0.9657
0.0016	85.6667	771	0.0294	0.9667	0.9722	0.9615	0.9657
0.0017	86.0	774	0.0294	0.9667	0.9722	0.9615	0.9657
0.0016	86.3333	777	0.0294	0.9667	0.9722	0.9615	0.9657
0.0017	86.6667	780	0.0295	0.9667	0.9722	0.9615	0.9657
0.0016	87.0	783	0.0295	0.9667	0.9722	0.9615	0.9657
0.0017	87.3333	786	0.0295	0.9667	0.9722	0.9615	0.9657
0.0017	87.6667	789	0.0295	0.9667	0.9722	0.9615	0.9657
0.0016	88.0	792	0.0293	0.9667	0.9722	0.9615	0.9657
0.0017	88.3333	795	0.0291	0.9667	0.9722	0.9615	0.9657
0.0017	88.6667	798	0.0288	0.9667	0.9722	0.9615	0.9657
0.0016	89.0	801	0.0286	0.9667	0.9722	0.9615	0.9657
0.0017	89.3333	804	0.0286	0.9667	0.9722	0.9615	0.9657
0.0016	89.6667	807	0.0286	0.9667	0.9722	0.9615	0.9657
0.0017	90.0	810	0.0285	0.9667	0.9722	0.9615	0.9657
0.0016	90.3333	813	0.0283	0.9667	0.9722	0.9615	0.9657
0.0016	90.6667	816	0.0282	0.9667	0.9722	0.9615	0.9657
0.0017	91.0	819	0.0280	0.9667	0.9722	0.9615	0.9657
0.0016	91.3333	822	0.0280	0.9667	0.9722	0.9615	0.9657
0.0017	91.6667	825	0.0279	0.9667	0.9722	0.9615	0.9657
0.0017	92.0	828	0.0279	0.9667	0.9722	0.9615	0.9657
0.0016	92.3333	831	0.0277	0.9667	0.9722	0.9615	0.9657
0.0016	92.6667	834	0.0276	0.9667	0.9722	0.9615	0.9657
0.0016	93.0	837	0.0276	0.9667	0.9722	0.9615	0.9657
0.0017	93.3333	840	0.0277	0.9667	0.9722	0.9615	0.9657
0.0016	93.6667	843	0.0277	0.9667	0.9722	0.9615	0.9657
0.0017	94.0	846	0.0278	0.9667	0.9722	0.9615	0.9657
0.0016	94.3333	849	0.0279	0.9667	0.9722	0.9615	0.9657
0.0016	94.6667	852	0.0281	0.9667	0.9722	0.9615	0.9657
0.0015	95.0	855	0.0282	0.9667	0.9722	0.9615	0.9657
0.0016	95.3333	858	0.0283	0.9667	0.9722	0.9615	0.9657
0.0016	95.6667	861	0.0283	0.9667	0.9722	0.9615	0.9657
0.0017	96.0	864	0.0283	0.9667	0.9722	0.9615	0.9657
0.0016	96.3333	867	0.0283	0.9667	0.9722	0.9615	0.9657
0.0016	96.6667	870	0.0282	0.9667	0.9722	0.9615	0.9657
0.0017	97.0	873	0.0282	0.9667	0.9722	0.9615	0.9657
0.0016	97.3333	876	0.0283	0.9667	0.9722	0.9615	0.9657
0.0015	97.6667	879	0.0284	0.9667	0.9722	0.9615	0.9657
0.0016	98.0	882	0.0284	0.9667	0.9722	0.9615	0.9657
0.0016	98.3333	885	0.0284	0.9667	0.9722	0.9615	0.9657
0.0016	98.6667	888	0.0284	0.9667	0.9722	0.9615	0.9657
0.0016	99.0	891	0.0284	0.9667	0.9722	0.9615	0.9657
0.0016	99.3333	894	0.0284	0.9667	0.9722	0.9615	0.9657
0.0016	99.6667	897	0.0284	0.9667	0.9722	0.9615	0.9657
0.0016	100.0	900	0.0284	0.9667	0.9722	0.9615	0.9657

Framework versions

• Transformers 4.49.0
• Pytorch 2.5.1+cu124
• Datasets 3.5.0
• Tokenizers 0.21.0