learning_rate: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 524288

Training results

Training Loss	Epoch	Step	Accuracy	Lookahead Loss	Lookahead Perplexity	Validation Loss	Perplexity
6.6913	0.0095	5000	0.0282	39.3044	117399710280460224.0000	6.5784	719.3614
6.3853	0.0191	10000	0.0289	30.3654	15400915759075.514	6.2884	538.2917
6.2629	0.0286	15000	0.0305	26.5650	344358969082.5502	6.1319	460.3039
6.1226	0.0381	20000	0.0309	20.7767	1054904571.7535	6.0155	409.7168
5.9646	0.0477	25000	0.0322	12.7631	349095.7813	5.9123	369.5545
5.9014	0.0572	30000	0.0306	9.1890	9789.0147	5.9223	373.2783
5.9364	0.0668	35000	0.0326	8.8468	6952.2587	5.8365	342.5753
5.9101	0.0763	40000	0.0344	8.5723	5283.3060	5.8004	330.4170
5.8641	0.0858	45000	0.0340	8.8594	7040.4611	5.7838	325.0032
5.9081	0.0954	50000	0.0358	8.8988	7322.9299	5.7625	318.1431
5.9661	0.1049	55000	0.0356	8.6371	5636.9011	5.7804	323.8902
5.9456	0.1144	60000	0.0369	8.7998	6632.8089	5.8108	333.8912
5.9131	0.1240	65000	0.0382	8.9718	7877.6758	5.8246	338.5269
5.9408	0.1335	70000	0.0382	8.9709	7870.4415	5.7992	330.0488
6.0065	0.1431	75000	0.0394	8.8279	6821.6503	5.8472	346.2572
5.8967	0.1526	80000	0.0395	9.5302	13769.0647	5.8741	355.6943
6.1743	0.1621	85000	0.0402	8.8181	6755.5736	5.9579	386.7979
6.0193	0.1717	90000	0.0399	8.5546	5190.6226	5.8674	353.3374
6.0285	0.1812	95000	0.0404	8.4514	4681.4796	5.8678	353.4621
5.9659	0.1907	100000	0.0415	8.7269	6166.5850	5.8670	353.1936
6.0304	0.2003	105000	0.0412	8.4267	4567.2815	5.9103	368.8350
6.0583	0.2098	110000	0.0411	8.6948	5972.0452	5.8797	357.7156
6.053	0.2193	115000	0.0417	8.5532	5183.2960	5.9154	370.7001
6.1051	0.2289	120000	0.0426	8.5780	5313.2307	5.9279	375.3514
6.0722	0.2384	125000	0.0416	8.5247	5037.6345	5.9162	370.9970
6.0857	0.2480	130000	0.0427	8.3400	4187.9384	5.8883	360.7826
6.0764	0.2575	135000	0.0426	8.6062	5465.5602	5.9327	377.1547
6.0819	0.2670	140000	0.0417	8.7044	6029.5392	5.9483	383.0830
6.031	0.2766	145000	0.0420	8.5064	4946.1910	5.8796	357.6692
6.0952	0.2861	150000	0.0420	8.4238	4554.0414	5.8847	359.4969
6.0402	0.2956	155000	0.0417	8.2736	3918.9174	5.8895	361.2193
6.0109	0.3052	160000	0.0412	8.2933	3997.0211	5.8591	350.4191
6.0041	0.3147	165000	0.0419	7.8818	2648.6731	5.8305	340.5289
5.9871	0.3242	170000	0.0420	7.9843	2934.5865	5.8205	337.1288
5.9548	0.3338	175000	0.0412	8.1642	3512.9831	5.8359	342.3704
6.0324	0.3433	180000	0.0426	8.1206	3363.0849	5.7951	328.6756
5.9459	0.3529	185000	0.0421	7.8193	2488.1387	5.7750	322.1374
5.9077	0.3624	190000	0.0420	7.8562	2581.7259	5.7724	321.2927
5.983	0.3719	195000	0.0415	7.8718	2622.1947	5.7629	318.2699
5.9019	0.3815	200000	0.0404	8.0693	3195.0155	5.7540	315.4574
5.8664	0.3910	205000	0.0414	7.8615	2595.5338	5.7408	311.3156
5.9601	0.4005	210000	0.0420	7.9168	2742.9738	5.7238	306.0784
5.8749	0.4101	215000	0.0414	7.9843	2934.3893	5.7244	306.2388
5.8563	0.4196	220000	0.0415	7.8042	2450.8247	5.7055	300.5256
5.9083	0.4292	225000	0.0413	7.7531	2328.6963	5.6959	297.6468
5.8473	0.4387	230000	0.0415	7.7180	2248.4279	5.6771	292.0966
5.9021	0.4482	235000	0.0405	7.7686	2365.1709	5.7012	299.2285
5.7837	0.4578	240000	0.0410	7.7851	2404.3986	5.6569	286.2585
5.8015	0.4673	245000	0.0404	7.7014	2211.3498	5.6563	286.0834
5.7699	0.4768	250000	0.0419	7.6930	2193.0058	5.6397	281.3667
5.7673	0.4864	255000	0.0409	7.7949	2428.2159	5.6257	277.4645
5.7342	0.4959	260000	0.0409	7.7758	2382.1887	5.6136	274.1414
5.7296	0.5054	265000	0.0408	7.7695	2367.2356	5.6093	272.9645
5.7854	0.5150	270000	0.0418	7.7510	2323.8449	5.6001	270.4489
5.7778	0.5245	275000	0.0416	7.7293	2273.9757	5.5836	266.0243
5.7347	0.5341	280000	0.0405	7.7460	2312.1937	5.5753	263.8191
5.7254	0.5436	285000	0.0406	7.7327	2281.6569	5.5651	261.1643
5.7287	0.5531	290000	0.0405	7.6531	2107.0742	5.5603	259.8962
5.8322	0.5627	295000	0.0410	7.6627	2127.4718	5.5501	257.2545
5.6957	0.5722	300000	0.0406	7.6973	2202.4213	5.5512	257.5555
5.6885	0.5817	305000	0.0400	7.6782	2160.7936	5.5358	253.6155
5.6931	0.5913	310000	0.0413	7.6291	2057.2046	5.5372	253.9556
5.7024	0.6008	315000	0.0399	7.6305	2060.1648	5.5142	248.2015
5.6039	0.6104	320000	0.0401	7.6355	2070.4602	5.5001	244.7091
5.6658	0.6199	325000	0.0396	7.6232	2045.0868	5.4934	243.0818
5.6381	0.6294	330000	0.0398	7.5870	1972.3905	5.4854	241.1361
5.6829	0.6390	335000	0.0398	7.6267	2052.2820	5.4742	238.4706
5.6595	0.6485	340000	0.0404	7.5941	1986.4813	5.4733	238.2478
5.6537	0.6580	345000	0.0394	7.6398	2079.3792	5.4654	236.3743
5.6034	0.6676	350000	0.0399	7.5942	1986.5764	5.4511	233.0051
5.5748	0.6771	355000	0.0395	7.5792	1957.0270	5.4421	230.9297
5.5886	0.6866	360000	0.0386	7.6046	2007.4233	5.4313	228.4520
5.5795	0.6962	365000	0.0395	7.6059	2009.9626	5.4222	226.3869
5.6283	0.7057	370000	0.0387	7.5913	1980.9620	5.4149	224.7189
5.5595	0.7153	375000	0.0393	7.6170	2032.3993	5.4046	222.4215
5.5667	0.7248	380000	0.0390	7.6184	2035.3124	5.3961	220.5489
5.5508	0.7343	385000	0.0393	7.5623	1924.3152	5.3872	218.5816
5.5796	0.7439	390000	0.0391	7.5590	1918.0016	5.3797	216.9580
5.5285	0.7534	395000	0.0386	7.5661	1931.5695	5.3708	215.0273
5.5194	0.7629	400000	0.0385	7.5782	1955.1562	5.3634	213.4451
5.5849	0.7725	405000	0.0384	7.5532	1906.7725	5.3572	212.1205
5.48	0.7820	410000	210.5396	5.3497	0.0387	1909.0207	7.5543
5.5236	0.7915	415000	208.2445	5.3387	0.0379	1899.2312	7.5492
5.4733	0.8011	420000	206.7636	5.3316	0.0382	1868.5760	7.5329
5.4857	0.8106	425000	205.4097	5.3250	0.0377	1881.2684	7.5397
5.4883	0.8202	430000	203.5777	5.3160	0.0380	1897.0067	7.5480
5.4659	0.8297	435000	201.8842	5.3077	0.0373	1846.9836	7.5213
5.4864	0.8392	440000	200.3570	5.3001	0.0378	1847.6301	7.5217
5.4697	0.8488	445000	199.5629	5.2961	0.0376	1841.5727	7.5184
5.359	0.8583	450000	198.6558	5.2916	0.0368	1839.8899	7.5175
5.5236	0.8678	455000	196.3660	5.2800	0.0375	1823.7893	7.5087
5.4811	0.8774	460000	195.5318	5.2757	0.0370	1820.4498	7.5068
5.4134	0.8869	465000	193.9948	5.2678	0.0370	1811.8785	7.5021
5.4297	0.8965	470000	192.8994	5.2622	0.0372	1819.7303	7.5064
5.4657	0.9060	475000	192.0886	5.2580	0.0372	1798.7231	7.4948
5.398	0.9155	480000	190.8767	5.2516	0.0368	1802.1644	7.4967
5.4084	0.9251	485000	190.0388	5.2472	0.0367	1803.4448	7.4975
5.4512	0.9346	490000	189.2571	5.2431	0.0367	1796.6301	7.4937
5.42	0.9441	495000	188.6367	5.2398	0.0366	1793.9652	7.4922
5.4164	0.9537	500000	187.8678	5.2357	0.0365	1792.0770	7.4911
5.3912	1.0095	505000	187.3297	5.2329	0.0365	1787.5085	7.4886
5.3829	1.0191	510000	186.7343	5.2297	0.0366	1785.1887	7.4873
5.4174	1.0286	515000	186.4854	5.2284	0.0365	1786.2572	7.4879
5.403	1.0381	520000	186.2719	5.2272	0.0365	1785.8340	7.4876

Framework versions

Transformers 4.57.0.dev0
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.22.1

hrezaei/T5Laa-Large-WeightedLoss

T5Laa-Large-WeightedLoss

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hrezaei/
T5Laa-Large-WeightedLoss