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Gayathri142214002/
t5-end2end-questions-generation_3

Name: t5-end2end-questions-generation_3
Availability: InStock

transformers

pytorch

text2text-generation

generated_from_trainer

apache-2.0

text-generation-inference

endpoints_compatible

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t5-end2end-questions-generation_3

This model is a fine-tuned version of Gayathri142214002/t5-end2end-questions-generation_2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3733

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss
0.6874	0.05	10	0.5152
0.5855	0.11	20	0.4873
0.5778	0.16	30	0.4874
0.5322	0.21	40	0.4939
0.5852	0.27	50	0.4955
0.5046	0.32	60	0.5046
0.3833	0.37	70	0.5042
0.459	0.42	80	0.5073
0.4129	0.48	90	0.5082
0.5371	0.53	100	0.5053
0.4841	0.58	110	0.5015
0.4994	0.64	120	0.4695
0.4129	0.69	130	0.4582
0.4524	0.74	140	0.4540
0.4908	0.8	150	0.4424
0.5084	0.85	160	0.4244
0.4423	0.9	170	0.4048
0.4426	0.96	180	0.3875
0.3701	1.01	190	0.4059
0.4315	1.06	200	0.3965
0.3846	1.12	210	0.4089
0.3511	1.17	220	0.4195
0.3644	1.22	230	0.4303
0.3706	1.27	240	0.4264
0.3325	1.33	250	0.4291
0.4266	1.38	260	0.4280
0.3983	1.43	270	0.4209
0.4121	1.49	280	0.4144
0.386	1.54	290	0.4140
0.4533	1.59	300	0.4128
0.3978	1.65	310	0.4182
0.38	1.7	320	0.4248
0.3818	1.75	330	0.4194
0.3957	1.81	340	0.3931
0.3409	1.86	350	0.3859
0.3619	1.91	360	0.3973
0.388	1.97	370	0.4041
0.377	2.02	380	0.4017
0.3645	2.07	390	0.3985
0.3268	2.12	400	0.3987
0.3389	2.18	410	0.3990
0.3405	2.23	420	0.3985
0.3677	2.28	430	0.3972
0.333	2.34	440	0.4131
0.3641	2.39	450	0.4188
0.3568	2.44	460	0.4132
0.3443	2.5	470	0.4266
0.337	2.55	480	0.4321
0.3562	2.6	490	0.4271
0.3411	2.66	500	0.4131
0.3386	2.71	510	0.4078
0.3307	2.76	520	0.3912
0.3293	2.82	530	0.3931
0.3647	2.87	540	0.3893
0.3555	2.92	550	0.3781
0.3588	2.97	560	0.3730
0.3088	3.03	570	0.3639
0.2886	3.08	580	0.3604
0.2834	3.13	590	0.3723
0.3154	3.19	600	0.3817
0.319	3.24	610	0.3847
0.298	3.29	620	0.3844
0.3443	3.35	630	0.3821
0.3418	3.4	640	0.3800
0.3606	3.45	650	0.3774
0.3668	3.51	660	0.3667
0.3331	3.56	670	0.3593
0.3045	3.61	680	0.3561
0.3307	3.67	690	0.3524
0.3409	3.72	700	0.3528
0.3783	3.77	710	0.3558
0.3288	3.82	720	0.3622
0.3248	3.88	730	0.3728
0.3115	3.93	740	0.3714
0.3374	3.98	750	0.3712
0.2982	4.04	760	0.3734
0.2636	4.09	770	0.3749
0.3035	4.14	780	0.3787
0.3041	4.2	790	0.3782
0.3112	4.25	800	0.3791
0.332	4.3	810	0.3789
0.2698	4.36	820	0.3822
0.277	4.41	830	0.3808
0.3357	4.46	840	0.3800
0.3224	4.52	850	0.3770
0.3358	4.57	860	0.3731
0.2973	4.62	870	0.3743
0.2815	4.67	880	0.3776
0.3233	4.73	890	0.3768
0.3034	4.78	900	0.3728
0.2978	4.83	910	0.3718
0.2692	4.89	920	0.3700
0.3294	4.94	930	0.3710
0.3022	4.99	940	0.3733
0.3036	5.05	950	0.3706
0.3134	5.1	960	0.3673
0.2808	5.15	970	0.3643
0.2728	5.21	980	0.3661
0.3201	5.26	990	0.3697
0.2873	5.31	1000	0.3710
0.2709	5.37	1010	0.3716
0.2758	5.42	1020	0.3728
0.2695	5.47	1030	0.3759
0.2734	5.52	1040	0.3758
0.2993	5.58	1050	0.3747
0.2697	5.63	1060	0.3756
0.3017	5.68	1070	0.3772
0.299	5.74	1080	0.3782
0.2834	5.79	1090	0.3795
0.3069	5.84	1100	0.3782
0.3309	5.9	1110	0.3764
0.3041	5.95	1120	0.3750
0.3047	6.0	1130	0.3743
0.2717	6.06	1140	0.3738
0.2108	6.11	1150	0.3749
0.2637	6.16	1160	0.3764
0.2972	6.22	1170	0.3748
0.2818	6.27	1180	0.3735
0.2934	6.32	1190	0.3729
0.3049	6.37	1200	0.3726
0.2389	6.43	1210	0.3727
0.2831	6.48	1220	0.3742
0.3017	6.53	1230	0.3751
0.2869	6.59	1240	0.3755
0.2719	6.64	1250	0.3749
0.2754	6.69	1260	0.3744
0.3138	6.75	1270	0.3738
0.2772	6.8	1280	0.3734
0.2952	6.85	1290	0.3733
0.2746	6.91	1300	0.3733
0.2918	6.96	1310	0.3733

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3

Gayathri142214002/t5-end2end-questions-generation_3

t5-end2end-questions-generation_3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Gayathri142214002/
t5-end2end-questions-generation_3