ord-forward-t5

smitathkr1/ord-forward-t5

ord-forward-t5 is a machine learning model from smitathkr1. 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. The card lists the license as apache-2.0.

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

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Nov 2, 2025
Updated: Nov 8, 2025
SHA: 380b1d55

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smitathkr1/demo_space_forward

Model card

From the Hugging Face model README

ord-forward-t5

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0083
Bleu: 50.6719
Exact Match: 0.1988

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: 0.0003
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Exact Match
0.1058	0.0226	2000	0.0872	34.8197	0.0118
0.0827	0.0453	4000	0.0695	35.6714	0.0262
0.0723	0.0679	6000	0.0600	36.9871	0.0322
0.0642	0.0906	8000	0.0529	37.5646	0.0418
0.058	0.1132	10000	0.0481	38.7551	0.0489
0.054	0.1358	12000	0.0440	39.5357	0.0566
0.0497	0.1585	14000	0.0404	39.6871	0.0619
0.0469	0.1811	16000	0.0387	40.4037	0.0673
0.0446	0.2037	18000	0.0359	40.8274	0.0720
0.0422	0.2264	20000	0.0339	41.5284	0.0766
0.0415	0.2490	22000	0.0321	41.7664	0.0803
0.0394	0.2717	24000	0.0311	42.3620	0.0854
0.0376	0.2943	26000	0.0295	42.7712	0.0915
0.0363	0.3169	28000	0.0284	42.8869	0.0953
0.0348	0.3396	30000	0.0279	43.2776	0.0971
0.0335	0.3622	32000	0.0262	43.4161	0.1005
0.0338	0.3848	34000	0.0261	43.6088	0.1032
0.0318	0.4075	36000	0.0249	43.8666	0.1074
0.0309	0.4301	38000	0.0247	44.0975	0.1073
0.03	0.4528	40000	0.0235	44.1094	0.1086
0.0301	0.4754	42000	0.0232	44.5585	0.1114
0.0286	0.4980	44000	0.0228	44.6026	0.1137
0.0286	0.5207	46000	0.0222	44.7055	0.1160
0.0283	0.5433	48000	0.0218	44.7929	0.1191
0.0277	0.5660	50000	0.0217	45.0728	0.1198
0.0269	0.5886	52000	0.0211	45.0158	0.1214
0.0275	0.6112	54000	0.0207	45.3122	0.1222
0.0267	0.6339	56000	0.0201	45.3873	0.1255
0.0252	0.6565	58000	0.0200	45.4518	0.1263
0.0255	0.6791	60000	0.0193	45.6086	0.1288
0.0251	0.7018	62000	0.0195	45.6695	0.1286
0.0244	0.7244	64000	0.0188	45.7086	0.1315
0.0242	0.7471	66000	0.0187	45.7538	0.1328
0.0236	0.7697	68000	0.0187	46.0652	0.1325
0.0235	0.7923	70000	0.0181	45.9055	0.1360
0.0235	0.8150	72000	0.0180	46.0485	0.1372
0.0232	0.8376	74000	0.0177	46.1891	0.1381
0.0225	0.8602	76000	0.0175	46.1597	0.1393
0.0223	0.8829	78000	0.0172	46.3654	0.1406
0.0221	0.9055	80000	0.0172	46.3009	0.1419
0.0223	0.9282	82000	0.0170	46.5075	0.1396
0.0219	0.9508	84000	0.0166	46.5423	0.1439
0.0211	0.9734	86000	0.0165	46.6099	0.1437
0.0215	0.9961	88000	0.0163	46.5368	0.1477
0.0203	1.0187	90000	0.0163	46.7192	0.1481
0.0209	1.0413	92000	0.0160	46.7035	0.1493
0.0205	1.0640	94000	0.0159	46.8002	0.1486
0.0206	1.0866	96000	0.0157	46.8736	0.1497
0.0204	1.1093	98000	0.0158	47.0318	0.1497
0.0197	1.1319	100000	0.0156	46.9102	0.1501
0.0198	1.1545	102000	0.0154	46.9915	0.1511
0.0197	1.1772	104000	0.0154	47.0428	0.1512
0.0189	1.1998	106000	0.0153	47.1425	0.1526
0.0195	1.2225	108000	0.0150	47.0256	0.1530
0.0188	1.2451	110000	0.0149	47.1682	0.1551
0.0186	1.2677	112000	0.0149	47.1778	0.1555
0.0187	1.2904	114000	0.0148	47.2621	0.1574
0.0186	1.3130	116000	0.0145	47.3019	0.1565
0.0184	1.3356	118000	0.0145	47.4187	0.1573
0.0183	1.3583	120000	0.0143	47.1818	0.1581
0.0188	1.3809	122000	0.0143	47.5076	0.1584
0.0179	1.4036	124000	0.0142	47.5324	0.1589
0.0179	1.4262	126000	0.0141	47.5996	0.1591
0.0168	1.4488	128000	0.0139	47.4796	0.1610
0.0178	1.4715	130000	0.0139	47.4263	0.1609
0.0178	1.4941	132000	0.0138	47.5261	0.1612
0.0177	1.5167	134000	0.0137	47.6366	0.1610
0.0176	1.5394	136000	0.0135	47.7131	0.1635
0.0178	1.5620	138000	0.0135	47.7976	0.1641
0.0177	1.5847	140000	0.0134	47.7739	0.1630
0.0171	1.6073	142000	0.0133	47.8164	0.1643
0.0172	1.6299	144000	0.0132	47.6727	0.1652
0.0171	1.6526	146000	0.0131	47.8773	0.1658
0.0172	1.6752	148000	0.0130	48.0028	0.1659
0.0169	1.6979	150000	0.0131	47.9244	0.1669
0.0164	1.7205	152000	0.0129	47.9443	0.1659
0.0167	1.7431	154000	0.0128	48.0010	0.1674
0.017	1.7658	156000	0.0127	48.0952	0.1683
0.0167	1.7884	158000	0.0127	47.9715	0.1678
0.0164	1.8110	160000	0.0125	48.0665	0.1679
0.0164	1.8337	162000	0.0125	48.0916	0.1685
0.0162	1.8563	164000	0.0126	48.0780	0.1686
0.0159	1.8790	166000	0.0124	48.1669	0.1696
0.0159	1.9016	168000	0.0123	48.2502	0.1713
0.0155	1.9242	170000	0.0124	48.1843	0.1718
0.0166	1.9469	172000	0.0122	48.2317	0.1702
0.0158	1.9695	174000	0.0123	48.2473	0.1706
0.0154	1.9921	176000	0.0121	48.2233	0.1707
0.0146	2.0148	178000	0.0119	48.3750	0.1715
0.0152	2.0374	180000	0.0120	48.3732	0.1726
0.0144	2.0601	182000	0.0119	48.3003	0.1732
0.0147	2.0827	184000	0.0121	48.3438	0.1721
0.0158	2.1053	186000	0.0117	48.4250	0.1735
0.0148	2.1280	188000	0.0117	48.4373	0.1740
0.0146	2.1506	190000	0.0117	48.4079	0.1746
0.015	2.1732	192000	0.0118	48.3787	0.1724
0.0146	2.1959	194000	0.0116	48.3315	0.1757
0.0148	2.2185	196000	0.0117	48.5133	0.1734
0.0149	2.2412	198000	0.0115	48.5503	0.1755
0.014	2.2638	200000	0.0114	48.6440	0.1752
0.0144	2.2864	202000	0.0114	48.4494	0.1752
0.0143	2.3091	204000	0.0113	48.5171	0.1761
0.0147	2.3317	206000	0.0114	48.5049	0.1756
0.0144	2.3544	208000	0.0114	48.6505	0.1769
0.0143	2.3770	210000	0.0113	48.5626	0.1769
0.0143	2.3996	212000	0.0114	48.7282	0.1768
0.0143	2.4223	214000	0.0112	48.6750	0.1763
0.0139	2.4449	216000	0.0111	48.7042	0.1779
0.0145	2.4675	218000	0.0110	48.6840	0.1780
0.0138	2.4902	220000	0.0109	48.7209	0.1788
0.0144	2.5128	222000	0.0111	48.7628	0.1809
0.0144	2.5355	224000	0.0108	48.7092	0.1787
0.0138	2.5581	226000	0.0108	48.7748	0.1795
0.014	2.5807	228000	0.0108	48.7813	0.1795
0.014	2.6034	230000	0.0108	48.8293	0.1792
0.0142	2.6260	232000	0.0108	48.8267	0.1803
0.0135	2.6486	234000	0.0107	48.8707	0.1810
0.0136	2.6713	236000	0.0107	48.8956	0.1806
0.0141	2.6939	238000	0.0106	48.9467	0.1813
0.0138	2.7166	240000	0.0106	48.8912	0.1795
0.0135	2.7392	242000	0.0106	48.8954	0.1814
0.0138	2.7618	244000	0.0105	49.0803	0.1818
0.0135	2.7845	246000	0.0104	48.9452	0.1821
0.013	2.8071	248000	0.0105	49.0192	0.1838
0.0134	2.8298	250000	0.0104	48.9696	0.1822
0.013	2.8524	252000	0.0103	48.9338	0.1817
0.0137	2.8750	254000	0.0103	49.0249	0.1827
0.0131	2.8977	256000	0.0103	49.0570	0.1827
0.0136	2.9203	258000	0.0102	49.1415	0.1844
0.0136	2.9429	260000	0.0102	49.1007	0.1836
0.0132	2.9656	262000	0.0102	49.0411	0.1843
0.0128	2.9882	264000	0.0102	49.1262	0.1844
0.0123	3.0109	266000	0.0101	49.1346	0.1841
0.0123	3.0335	268000	0.0101	49.1488	0.1838
0.0121	3.0561	270000	0.0100	49.1694	0.1852
0.0125	3.0788	272000	0.0100	49.1937	0.1858
0.0122	3.1014	274000	0.0100	49.1364	0.1856
0.0126	3.1240	276000	0.0100	49.1915	0.1844
0.0126	3.1467	278000	0.0100	49.1607	0.1850
0.0126	3.1693	280000	0.0099	49.1567	0.1842
0.0126	3.1920	282000	0.0099	49.2994	0.1860
0.0127	3.2146	284000	0.0098	49.2967	0.1856
0.0123	3.2372	286000	0.0099	49.2657	0.1869
0.0122	3.2599	288000	0.0098	49.3254	0.1873
0.0124	3.2825	290000	0.0098	49.3960	0.1869
0.0119	3.3051	292000	0.0097	49.3278	0.1871
0.0123	3.3278	294000	0.0097	49.3128	0.1861
0.0124	3.3504	296000	0.0096	49.3106	0.1879
0.0122	3.3731	298000	0.0097	49.3737	0.1891
0.0118	3.3957	300000	0.0096	49.3818	0.1884
0.0121	3.4183	302000	0.0096	49.4057	0.1893
0.0123	3.4410	304000	0.0096	49.4641	0.1882
0.0124	3.4636	306000	0.0095	49.3291	0.1886
0.012	3.4863	308000	0.0095	49.4946	0.1890
0.0121	3.5089	310000	0.0095	49.3872	0.1892
0.0121	3.5315	312000	0.0094	49.4517	0.1904
0.0121	3.5542	314000	0.0094	49.4236	0.1904
0.0122	3.5768	316000	0.0094	49.4295	0.1890
0.0115	3.5994	318000	0.0094	49.5112	0.1899
0.0113	3.6221	320000	0.0093	49.4791	0.1902
0.0117	3.6447	322000	0.0093	49.5464	0.1907
0.012	3.6674	324000	0.0093	49.5608	0.1908
0.0122	3.6900	326000	0.0093	49.5088	0.1901
0.0121	3.7126	328000	0.0092	49.6321	0.1912
0.0119	3.7353	330000	0.0092	49.5775	0.1915
0.0123	3.7579	332000	0.0092	49.5409	0.1910
0.0117	3.7805	334000	0.0091	49.6303	0.1919
0.0117	3.8032	336000	0.0091	49.6150	0.1912
0.0112	3.8258	338000	0.0091	49.6075	0.1913
0.0116	3.8485	340000	0.0091	49.5985	0.1914
0.0114	3.8711	342000	0.0091	49.6093	0.1920
0.0114	3.8937	344000	0.0090	49.6152	0.1921
0.0119	3.9164	346000	0.0090	49.6228	0.1926
0.0113	3.9390	348000	0.0090	49.6626	0.1925
0.0113	3.9617	350000	0.0089	49.6894	0.1925
0.0113	3.9843	352000	0.0090	49.7588	0.1919
0.0108	4.0069	354000	0.0090	49.7142	0.1942
0.0113	4.0296	356000	0.0089	49.7560	0.1934
0.0111	4.0522	358000	0.0089	49.7952	0.1952
0.011	4.0748	360000	0.0089	49.7782	0.1944
0.0108	4.0975	362000	0.0089	49.7355	0.1944
0.0109	4.1201	364000	0.0089	49.7382	0.1947
0.0109	4.1428	366000	0.0088	49.7860	0.1942
0.011	4.1654	368000	0.0087	49.7896	0.1945
0.011	4.1880	370000	0.0088	49.7495	0.1947
0.0112	4.2107	372000	0.0088	49.7334	0.1944
0.0107	4.2333	374000	0.0088	49.7848	0.1943
0.0104	4.2559	376000	0.0088	49.8388	0.1945
0.0109	4.2786	378000	0.0087	49.7591	0.1936
0.0106	4.3012	380000	0.0087	49.8372	0.1950
0.0108	4.3239	382000	0.0087	49.8242	0.1955
0.0104	4.3465	384000	0.0087	49.8844	0.1962
0.0107	4.3691	386000	0.0087	49.8759	0.1957
0.0107	4.3918	388000	0.0086	49.8460	0.1958
0.0109	4.4144	390000	0.0086	49.8999	0.1958
0.0106	4.4370	392000	0.0086	49.9260	0.1956
0.0105	4.4597	394000	0.0086	49.9298	0.1964
0.0108	4.4823	396000	0.0086	49.9201	0.1964
0.0105	4.5050	398000	0.0086	49.8979	0.1958
0.0107	4.5276	400000	0.0085	49.9009	0.1958
0.0107	4.5502	402000	0.0085	49.8843	0.1968
0.0105	4.5729	404000	0.0085	49.9003	0.1970
0.0104	4.5955	406000	0.0085	49.8893	0.1965
0.0108	4.6182	408000	0.0085	49.9278	0.1969
0.0106	4.6408	410000	0.0085	49.9527	0.1968
0.0105	4.6634	412000	0.0084	49.9209	0.1970
0.0099	4.6861	414000	0.0085	49.9390	0.1965
0.0105	4.7087	416000	0.0084	49.9598	0.1967
0.0107	4.7313	418000	0.0084	49.9966	0.1981
0.0108	4.7540	420000	0.0084	49.9902	0.1978
0.0107	4.7766	422000	0.0084	49.9369	0.1975
0.0112	4.7993	424000	0.0084	49.9650	0.1976
0.0102	4.8219	426000	0.0084	49.9707	0.1972
0.0105	4.8445	428000	0.0084	49.9702	0.1975
0.01	4.8672	430000	0.0084	49.9767	0.1976
0.0105	4.8898	432000	0.0083	49.9639	0.1976
0.0102	4.9124	434000	0.0084	49.9858	0.1978
0.0101	4.9351	436000	0.0083	49.9975	0.1978
0.0103	4.9577	438000	0.0083	49.9776	0.1977
0.01	4.9804	440000	0.0083	49.9956	0.1975

Framework versions

Transformers 4.57.1
Pytorch 2.3.1+cu121
Datasets 4.3.0
Tokenizers 0.22.1

Library: transformers
Type: t5
License: apache-2.0
Created: Nov 2, 2025
Updated: Nov 8, 2025