2020-Q4-50p-filtered-prog_from_Q3

DouglasPontes/2020-Q4-50p-filtered-prog_from_Q3

2020-Q4-50p-filtered-prog_from_Q3 is a fill-mask model from DouglasPontes. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.

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

Downloads · 30 days

1% of all-time downloads

All-time downloads

280

Public

Repo size

21 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin499 MB · 99%

At a glance

Task: Fill-Mask
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Feb 26, 2024
Updated: Mar 4, 2024
SHA: 1a646b02

Try a prompt

Base models

cardiffnlp/twitter-roberta-base-2019-90m

Model card

From the Hugging Face model README

2020-Q4-50p-filtered-random

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-2019-90m on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.2570

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: 4.1e-07
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 2400000

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.03	8000	2.5888
2.8176	0.07	16000	2.4814
2.8176	0.1	24000	2.4264
2.5609	0.13	32000	2.3993
2.5609	0.17	40000	2.3761
2.4969	0.2	48000	2.3624
2.4969	0.24	56000	2.3481
2.48	0.27	64000	2.3399
2.48	0.3	72000	2.3289
2.451	0.34	80000	2.3221
2.451	0.37	88000	2.3183
2.4367	0.4	96000	2.3221
2.4367	0.44	104000	2.3142
2.4388	0.47	112000	2.3028
2.4388	0.51	120000	2.3066
2.4215	0.54	128000	2.3013
2.4215	0.57	136000	2.3039
2.4178	0.61	144000	2.2907
2.4178	0.64	152000	2.2996
2.4103	0.67	160000	2.2943
2.4103	0.71	168000	2.2900
2.4122	0.74	176000	2.2902
2.4122	0.77	184000	2.2961
2.4173	0.81	192000	2.2906
2.4173	0.84	200000	2.2925
2.4067	0.88	208000	2.2911
2.4067	0.91	216000	2.2844
2.4059	0.94	224000	2.2855
2.4059	0.98	232000	2.2811
2.4089	1.01	240000	2.2788
2.4089	1.04	248000	2.2796
2.4034	1.08	256000	2.2827
2.4034	1.11	264000	2.2803
2.408	1.15	272000	2.2746
2.408	1.18	280000	2.2851
2.3985	1.21	288000	2.2781
2.3985	1.25	296000	2.2795
2.4009	1.28	304000	2.2777
2.4009	1.31	312000	2.2770
2.4017	1.35	320000	2.2763
2.4017	1.38	328000	2.2734
2.4056	1.41	336000	2.2758
2.4056	1.45	344000	2.2763
2.4017	1.48	352000	2.2700
2.4017	1.52	360000	2.2736
2.3993	1.55	368000	2.2763
2.3993	1.58	376000	2.2792
2.3994	1.62	384000	2.2666
2.3994	1.65	392000	2.2699
2.3969	1.68	400000	2.2753
2.3969	1.72	408000	2.2707
2.4094	1.75	416000	2.2731
2.4094	1.79	424000	2.2709
2.4102	1.82	432000	2.2623
2.4102	1.85	440000	2.2751
2.4042	1.89	448000	2.2728
2.4042	1.92	456000	2.2714
2.3991	1.95	464000	2.2634
2.3991	1.99	472000	2.2695
2.3976	2.02	480000	2.2731
2.3976	2.05	488000	2.2736
2.4019	2.09	496000	2.2803
2.4019	2.12	504000	2.2699
2.4044	2.16	512000	2.2731
2.4044	2.19	520000	2.2709
2.3989	2.22	528000	2.2716
2.3989	2.26	536000	2.2668
2.4068	2.29	544000	2.2728
2.4068	2.32	552000	2.2709
2.4047	2.36	560000	2.2683
2.4047	2.39	568000	2.2731
2.3976	2.43	576000	2.2676
2.3976	2.46	584000	2.2736
2.3994	2.49	592000	2.2624
2.3994	2.53	600000	2.2773
2.3997	2.56	608000	2.2719
2.3997	2.59	616000	2.2701
2.4042	2.63	624000	2.2695
2.4042	2.66	632000	2.2666
2.3994	2.69	640000	2.2719
2.3994	2.73	648000	2.2686
2.3953	2.76	656000	2.2623
2.3953	2.8	664000	2.2662
2.402	2.83	672000	2.2707
2.402	2.86	680000	2.2662
2.3929	2.9	688000	2.2726
2.3929	2.93	696000	2.2682
2.3977	2.96	704000	2.2634
2.3977	3.0	712000	2.2685
2.4022	3.03	720000	2.2693
2.4022	3.07	728000	2.2666
2.4046	3.1	736000	2.2690
2.4046	3.13	744000	2.2641
2.3977	3.17	752000	2.2658
2.3977	3.2	760000	2.2645
2.4015	3.23	768000	2.2619
2.4015	3.27	776000	2.2671
2.393	3.3	784000	2.2694
2.393	3.33	792000	2.2662
2.3907	3.37	800000	2.2691
2.3907	3.4	808000	2.2679
2.3987	3.44	816000	2.2688
2.3987	3.47	824000	2.2655
2.4116	3.5	832000	2.2668
2.4116	3.54	840000	2.2675
2.3913	3.57	848000	2.2689
2.3913	3.6	856000	2.2642
2.3974	3.64	864000	2.2667
2.3974	3.67	872000	2.2717
2.4046	3.71	880000	2.2661
2.4046	3.74	888000	2.2705
2.4006	3.77	896000	2.2637
2.4006	3.81	904000	2.2635
2.3987	3.84	912000	2.2642
2.3987	3.87	920000	2.2691
2.4068	3.91	928000	2.2689
2.4068	3.94	936000	2.2730
2.4092	3.97	944000	2.2644
2.4092	4.01	952000	2.2706
2.4035	4.04	960000	2.2671
2.4035	4.08	968000	2.2562
2.4005	4.11	976000	2.2622
2.4005	4.14	984000	2.2642
2.406	4.18	992000	2.2625
2.406	4.21	1000000	2.2662
2.3972	4.24	1008000	2.2658
2.3972	4.28	1016000	2.2668
2.3937	4.31	1024000	2.2593
2.3937	4.35	1032000	2.2712
2.3982	4.38	1040000	2.2695
2.3982	4.41	1048000	2.2684
2.4034	4.45	1056000	2.2643
2.4034	4.48	1064000	2.2665
2.3996	4.51	1072000	2.2692
2.3996	4.55	1080000	2.2628
2.4054	4.58	1088000	2.2673
2.4054	4.61	1096000	2.2577
2.4039	4.65	1104000	2.2671
2.4039	4.68	1112000	2.2586
2.4033	4.72	1120000	2.2730
2.4033	4.75	1128000	2.2655
2.4036	4.78	1136000	2.2694
2.4036	4.82	1144000	2.2630
2.4036	4.85	1152000	2.2618
2.4036	4.88	1160000	2.2665
2.4005	4.92	1168000	2.2609
2.4005	4.95	1176000	2.2617
2.4065	4.99	1184000	2.2646
2.4065	5.02	1192000	2.2606
2.4044	5.05	1200000	2.2656
2.4044	5.09	1208000	2.2630
2.3997	5.12	1216000	2.2737
2.3997	5.15	1224000	2.2762
2.407	5.19	1232000	2.2669
2.407	5.22	1240000	2.2695
2.4013	5.25	1248000	2.2704
2.4013	5.29	1256000	2.2612
2.4118	5.32	1264000	2.2654
2.4118	5.36	1272000	2.2683
2.3953	5.39	1280000	2.2628
2.3953	5.42	1288000	2.2605
2.3973	5.46	1296000	2.2667
2.3973	5.49	1304000	2.2640
2.4027	5.52	1312000	2.2619
2.4027	5.56	1320000	2.2687
2.3967	5.59	1328000	2.2598
2.3967	5.63	1336000	2.2621
2.4028	5.66	1344000	2.2602
2.4028	5.69	1352000	2.2713
2.4053	5.73	1360000	2.2623
2.4053	5.76	1368000	2.2697
2.3987	5.79	1376000	2.2638
2.3987	5.83	1384000	2.2601
2.3987	5.86	1392000	2.2642
2.3987	5.89	1400000	2.2656
2.401	5.93	1408000	2.2712
2.401	5.96	1416000	2.2639
2.4011	6.0	1424000	2.2646
2.4011	6.03	1432000	2.2669
2.4022	6.06	1440000	2.2619
2.4022	6.1	1448000	2.2580
2.3998	6.13	1456000	2.2612
2.3998	6.16	1464000	2.2652
2.3999	6.2	1472000	2.2610
2.3999	6.23	1480000	2.2567
2.3984	6.27	1488000	2.2590
2.3984	6.3	1496000	2.2565
2.4017	6.33	1504000	2.2658
2.4017	6.37	1512000	2.2626
2.4055	6.4	1520000	2.2656
2.4055	6.43	1528000	2.2622
2.3959	6.47	1536000	2.2691
2.3959	6.5	1544000	2.2604
2.4016	6.53	1552000	2.2599
2.4016	6.57	1560000	2.2655
2.3986	6.6	1568000	2.2684
2.3986	6.64	1576000	2.2716
2.4051	6.67	1584000	2.2605
2.4051	6.7	1592000	2.2569
2.4057	6.74	1600000	2.2687
2.4057	6.77	1608000	2.2571
2.3956	6.8	1616000	2.2664
2.3956	6.84	1624000	2.2612
2.4048	6.87	1632000	2.2643
2.4048	6.91	1640000	2.2633
2.4042	6.94	1648000	2.2634
2.4042	6.97	1656000	2.2637
2.4008	7.01	1664000	2.2619
2.4008	7.04	1672000	2.2579
2.397	7.07	1680000	2.2628
2.397	7.11	1688000	2.2593
2.4044	7.14	1696000	2.2593
2.4044	7.17	1704000	2.2613
2.3979	7.21	1712000	2.2685
2.3979	7.24	1720000	2.2683
2.4017	7.28	1728000	2.2611
2.4017	7.31	1736000	2.2672
2.4017	7.34	1744000	2.2577
2.4017	7.38	1752000	2.2609
2.4018	7.41	1760000	2.2567
2.4018	7.44	1768000	2.2661
2.3905	7.48	1776000	2.2671
2.3905	7.51	1784000	2.2663
2.4063	7.55	1792000	2.2619
2.4063	7.58	1800000	2.2587
2.4015	7.61	1808000	2.2584
2.4015	7.65	1816000	2.2580
2.3984	7.68	1824000	2.2586
2.3984	7.71	1832000	2.2620
2.3962	7.75	1840000	2.2584
2.3962	7.78	1848000	2.2607
2.3998	7.81	1856000	2.2638
2.3998	7.85	1864000	2.2629
2.4005	7.88	1872000	2.2716
2.4005	7.92	1880000	2.2623
2.4006	7.95	1888000	2.2555
2.4006	7.98	1896000	2.2653
2.3946	8.02	1904000	2.2629
2.3946	8.05	1912000	2.2654
2.3983	8.08	1920000	2.2623
2.3983	8.12	1928000	2.2544
2.4038	8.15	1936000	2.2605
2.4038	8.19	1944000	2.2622
2.399	8.22	1952000	2.2600
2.399	8.25	1960000	2.2629
2.3983	8.29	1968000	2.2621
2.3983	8.32	1976000	2.2609
2.4059	8.35	1984000	2.2705
2.4059	8.39	1992000	2.2572
2.4058	8.42	2000000	2.2602
2.4058	8.45	2008000	2.2626
2.3954	8.49	2016000	2.2668
2.3954	8.52	2024000	2.2599
2.3932	8.56	2032000	2.2643
2.3932	8.59	2040000	2.2559
2.4001	8.62	2048000	2.2614
2.4001	8.66	2056000	2.2577
2.3912	8.69	2064000	2.2665
2.3912	8.72	2072000	2.2576
2.4015	8.76	2080000	2.2672
2.4015	8.79	2088000	2.2598
2.4015	8.83	2096000	2.2599
2.4015	8.86	2104000	2.2641
2.399	8.89	2112000	2.2612
2.399	8.93	2120000	2.2607
2.3963	8.96	2128000	2.2633
2.3963	8.99	2136000	2.2567
2.3957	9.03	2144000	2.2630
2.3957	9.06	2152000	2.2597
2.3943	9.09	2160000	2.2624
2.3943	9.13	2168000	2.2599
2.4025	9.16	2176000	2.2578
2.4025	9.2	2184000	2.2640
2.3944	9.23	2192000	2.2562
2.3944	9.26	2200000	2.2660
2.3964	9.3	2208000	2.2556
2.3964	9.33	2216000	2.2697
2.4026	9.36	2224000	2.2652
2.4026	9.4	2232000	2.2571
2.398	9.43	2240000	2.2555
2.398	9.47	2248000	2.2607
2.4038	9.5	2256000	2.2558
2.4038	9.53	2264000	2.2660
2.4027	9.57	2272000	2.2587
2.4027	9.6	2280000	2.2605
2.4025	9.63	2288000	2.2578
2.4025	9.67	2296000	2.2609
2.3969	9.7	2304000	2.2597
2.3969	9.73	2312000	2.2619
2.3886	9.77	2320000	2.2645
2.3886	9.8	2328000	2.2717
2.3942	9.84	2336000	2.2627
2.3942	9.87	2344000	2.2582
2.396	9.9	2352000	2.2634
2.396	9.94	2360000	2.2582
2.3998	9.97	2368000	2.2643
2.3998	10.0	2376000	2.2690
2.4014	10.04	2384000	2.2655
2.4014	10.07	2392000	2.2660
2.4004	10.11	2400000	2.2650

Framework versions

Transformers 4.35.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.14.0

Task: Fill-Mask
Library: transformers
Type: roberta
License: mit
Created: Feb 26, 2024
Updated: Mar 4, 2024