distilgpt2-custom-functions-dataset-python

sharoz/distilgpt2-custom-functions-dataset-python

distilgpt2-custom-functions-dataset-python is a text generation model from sharoz. Use it when you need the model to write or continue text. 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. --

Downloads · 30 days

4% of all-time downloads

All-time downloads

505

Public

Repo size

668 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin334 MB · 100%

At a glance

Task: Text Generation
Library: transformers
License: apache-2.0
Model type: gpt2
Access: Public
Created: Jun 4, 2023
Updated: Jun 4, 2023
SHA: b0074633

Try a prompt

Model card

From the Hugging Face model README

distilgpt2-custom-functions-dataset-python

This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0449

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
3.2459	0.02	1	2.9042
3.145	0.05	2	2.7960
3.152	0.07	3	2.7130
2.8803	0.09	4	2.6500
3.0041	0.12	5	2.5872
2.9888	0.14	6	2.5306
2.8988	0.16	7	2.4758
2.8324	0.19	8	2.4277
2.7391	0.21	9	2.3884
2.5464	0.23	10	2.3563
2.7032	0.26	11	2.3296
2.5574	0.28	12	2.2887
2.4388	0.3	13	2.2435
2.4412	0.33	14	2.2067
2.5202	0.35	15	2.1748
2.539	0.37	16	2.1492
2.3816	0.4	17	2.1224
2.2194	0.42	18	2.0913
2.3143	0.44	19	2.0629
2.4338	0.47	20	2.0381
2.2438	0.49	21	2.0147
2.2331	0.51	22	1.9929
2.3193	0.53	23	1.9737
2.4079	0.56	24	1.9516
2.0871	0.58	25	1.9325
2.0421	0.6	26	1.9131
2.0962	0.63	27	1.8915
2.2952	0.65	28	1.8700
2.0131	0.67	29	1.8527
2.0945	0.7	30	1.8395
2.0249	0.72	31	1.8241
1.7714	0.74	32	1.8035
2.1155	0.77	33	1.7834
2.0701	0.79	34	1.7706
2.1761	0.81	35	1.7681
2.024	0.84	36	1.7678
2.0026	0.86	37	1.7592
1.9519	0.88	38	1.7403
2.0078	0.91	39	1.7192
2.0886	0.93	40	1.7038
1.9394	0.95	41	1.6932
1.9368	0.98	42	1.6838
1.9336	1.0	43	1.6746
1.9114	1.02	44	1.6668
1.6817	1.05	45	1.6600
1.7199	1.07	46	1.6530
2.1471	1.09	47	1.6443
1.876	1.12	48	1.6326
2.0242	1.14	49	1.6220
1.7853	1.16	50	1.6124
1.8848	1.19	51	1.6044
1.9169	1.21	52	1.5957
1.8757	1.23	53	1.5863
1.7563	1.26	54	1.5776
1.8712	1.28	55	1.5684
1.5925	1.3	56	1.5592
1.8532	1.33	57	1.5499
1.8703	1.35	58	1.5420
1.8791	1.37	59	1.5394
1.7589	1.4	60	1.5366
1.7686	1.42	61	1.5292
1.7732	1.44	62	1.5185
1.7275	1.47	63	1.5062
1.5971	1.49	64	1.4932
1.8588	1.51	65	1.4846
1.7586	1.53	66	1.4779
1.6546	1.56	67	1.4715
1.7612	1.58	68	1.4659
1.8496	1.6	69	1.4611
1.7064	1.63	70	1.4560
1.7603	1.65	71	1.4510
1.8635	1.67	72	1.4483
1.6867	1.7	73	1.4458
1.7442	1.72	74	1.4410
1.6289	1.74	75	1.4360
1.6314	1.77	76	1.4298
1.7503	1.79	77	1.4234
1.8372	1.81	78	1.4191
1.6873	1.84	79	1.4144
1.5076	1.86	80	1.4099
1.6742	1.88	81	1.4053
1.7419	1.91	82	1.4014
1.7564	1.93	83	1.3965
1.6603	1.95	84	1.3927
1.5957	1.98	85	1.3890
1.5423	2.0	86	1.3843
1.8173	2.02	87	1.3799
1.6287	2.05	88	1.3760
1.5382	2.07	89	1.3733
1.7807	2.09	90	1.3720
1.4352	2.12	91	1.3698
1.6497	2.14	92	1.3691
1.5239	2.16	93	1.3673
1.5729	2.19	94	1.3659
1.601	2.21	95	1.3638
1.5532	2.23	96	1.3605
1.6227	2.26	97	1.3579
1.4461	2.28	98	1.3540
1.6625	2.3	99	1.3497
1.4653	2.33	100	1.3454
1.5603	2.35	101	1.3407
1.6055	2.37	102	1.3369
1.688	2.4	103	1.3339
1.6214	2.42	104	1.3329
1.6715	2.44	105	1.3312
1.4717	2.47	106	1.3275
1.6041	2.49	107	1.3241
1.3908	2.51	108	1.3196
1.4255	2.53	109	1.3160
1.6491	2.56	110	1.3138
1.4839	2.58	111	1.3117
1.6332	2.6	112	1.3103
1.5875	2.63	113	1.3095
1.6515	2.65	114	1.3085
1.5876	2.67	115	1.3047
1.571	2.7	116	1.2994
1.5104	2.72	117	1.2942
1.5415	2.74	118	1.2912
1.5497	2.77	119	1.2890
1.4377	2.79	120	1.2866
1.6653	2.81	121	1.2837
1.8368	2.84	122	1.2820
1.3668	2.86	123	1.2807
1.5136	2.88	124	1.2790
1.4872	2.91	125	1.2770
1.5815	2.93	126	1.2747
1.5128	2.95	127	1.2733
1.6116	2.98	128	1.2718
1.1527	3.0	129	1.2696
1.7834	3.02	130	1.2659
1.4598	3.05	131	1.2609
1.3641	3.07	132	1.2572
1.3965	3.09	133	1.2533
1.5373	3.12	134	1.2502
1.5436	3.14	135	1.2475
1.4855	3.16	136	1.2462
1.4651	3.19	137	1.2450
1.5451	3.21	138	1.2424
1.371	3.23	139	1.2399
1.494	3.26	140	1.2363
1.4795	3.28	141	1.2334
1.4884	3.3	142	1.2316
1.3325	3.33	143	1.2296
1.4838	3.35	144	1.2270
1.6316	3.37	145	1.2246
1.7781	3.4	146	1.2223
1.5818	3.42	147	1.2199
1.3451	3.44	148	1.2181
1.3948	3.47	149	1.2159
1.3582	3.49	150	1.2141
1.308	3.51	151	1.2128
1.5047	3.53	152	1.2115
1.5315	3.56	153	1.2111
1.292	3.58	154	1.2100
1.3923	3.6	155	1.2087
1.4429	3.63	156	1.2072
1.4175	3.65	157	1.2053
1.2825	3.67	158	1.2027
1.6203	3.7	159	1.2009
1.3873	3.72	160	1.1996
1.3914	3.74	161	1.1979
1.397	3.77	162	1.1965
1.3203	3.79	163	1.1955
1.3472	3.81	164	1.1944
1.4608	3.84	165	1.1924
1.5623	3.86	166	1.1910
1.3188	3.88	167	1.1899
1.5339	3.91	168	1.1891
1.2599	3.93	169	1.1891
1.4341	3.95	170	1.1896
1.5623	3.98	171	1.1902
1.4875	4.0	172	1.1911
1.4397	4.02	173	1.1928
1.3585	4.05	174	1.1952
1.5946	4.07	175	1.1954
1.2969	4.09	176	1.1936
1.4746	4.12	177	1.1905
1.2995	4.14	178	1.1869
1.3867	4.16	179	1.1837
1.3056	4.19	180	1.1811
1.4109	4.21	181	1.1792
1.3159	4.23	182	1.1778
1.5643	4.26	183	1.1758
1.565	4.28	184	1.1742
1.3642	4.3	185	1.1725
1.2332	4.33	186	1.1713
1.4746	4.35	187	1.1706
1.6079	4.37	188	1.1706
1.4417	4.4	189	1.1710
1.5759	4.42	190	1.1716
1.4531	4.44	191	1.1730
1.1457	4.47	192	1.1725
1.3571	4.49	193	1.1699
1.3083	4.51	194	1.1667
1.4778	4.53	195	1.1629
1.4744	4.56	196	1.1596
1.3267	4.58	197	1.1576
1.3062	4.6	198	1.1559
1.4942	4.63	199	1.1541
1.3481	4.65	200	1.1523
1.336	4.67	201	1.1504
1.178	4.7	202	1.1484
1.4255	4.72	203	1.1470
1.2686	4.74	204	1.1463
1.2701	4.77	205	1.1462
1.4147	4.79	206	1.1471
1.1865	4.81	207	1.1472
1.6298	4.84	208	1.1466
1.4168	4.86	209	1.1448
1.2948	4.88	210	1.1428
1.3592	4.91	211	1.1403
1.1308	4.93	212	1.1380
1.4951	4.95	213	1.1365
1.2861	4.98	214	1.1356
1.5495	5.0	215	1.1353
1.3874	5.02	216	1.1352
1.4681	5.05	217	1.1352
1.3233	5.07	218	1.1348
1.3016	5.09	219	1.1342
1.1397	5.12	220	1.1336
1.4272	5.14	221	1.1335
1.2665	5.16	222	1.1340
1.3082	5.19	223	1.1344
1.3535	5.21	224	1.1344
1.3061	5.23	225	1.1335
1.6763	5.26	226	1.1323
1.364	5.28	227	1.1309
1.3174	5.3	228	1.1295
1.392	5.33	229	1.1283
1.2964	5.35	230	1.1268
1.4763	5.37	231	1.1254
1.5131	5.4	232	1.1246
1.3607	5.42	233	1.1236
1.1999	5.44	234	1.1220
1.3008	5.47	235	1.1198
1.4308	5.49	236	1.1182
1.3658	5.51	237	1.1169
1.237	5.53	238	1.1162
1.2438	5.56	239	1.1157
1.2446	5.58	240	1.1148
1.1169	5.6	241	1.1144
1.1357	5.63	242	1.1138
1.2117	5.65	243	1.1135
1.6094	5.67	244	1.1132
1.4128	5.7	245	1.1121
1.1179	5.72	246	1.1108
1.5971	5.74	247	1.1090
1.4945	5.77	248	1.1075
1.3786	5.79	249	1.1064
1.2543	5.81	250	1.1055
1.2173	5.84	251	1.1051
1.2902	5.86	252	1.1045
1.349	5.88	253	1.1040
1.4361	5.91	254	1.1039
1.2974	5.93	255	1.1043
1.3718	5.95	256	1.1054
1.3251	5.98	257	1.1058
1.0946	6.0	258	1.1054
1.5179	6.02	259	1.1044
1.2111	6.05	260	1.1029
1.2518	6.07	261	1.1017
1.3981	6.09	262	1.1007
1.2579	6.12	263	1.0997
1.3362	6.14	264	1.0988
1.3431	6.16	265	1.0979
1.1871	6.19	266	1.0966
1.3084	6.21	267	1.0955
1.274	6.23	268	1.0943
1.3527	6.26	269	1.0930
1.1882	6.28	270	1.0921
1.4504	6.3	271	1.0914
1.2413	6.33	272	1.0907
1.3834	6.35	273	1.0905
1.4718	6.37	274	1.0902
1.2267	6.4	275	1.0900
1.2695	6.42	276	1.0903
1.3234	6.44	277	1.0900
1.3627	6.47	278	1.0897
1.261	6.49	279	1.0893
1.2832	6.51	280	1.0886
1.2676	6.53	281	1.0876
1.2157	6.56	282	1.0866
1.4472	6.58	283	1.0855
1.5994	6.6	284	1.0846
1.1464	6.63	285	1.0838
1.383	6.65	286	1.0832
1.3188	6.67	287	1.0828
1.1299	6.7	288	1.0825
1.332	6.72	289	1.0822
1.3761	6.74	290	1.0817
1.2563	6.77	291	1.0812
1.2101	6.79	292	1.0807
1.0416	6.81	293	1.0803
1.2677	6.84	294	1.0804
1.3173	6.86	295	1.0804
1.276	6.88	296	1.0809
1.3172	6.91	297	1.0819
1.3541	6.93	298	1.0829
1.167	6.95	299	1.0828
1.3084	6.98	300	1.0818
1.4632	7.0	301	1.0802
1.2737	7.02	302	1.0787
1.339	7.05	303	1.0771
1.2764	7.07	304	1.0755
1.1898	7.09	305	1.0738
1.0969	7.12	306	1.0725
1.3272	7.14	307	1.0713
1.3145	7.16	308	1.0706
1.3092	7.19	309	1.0700
1.4391	7.21	310	1.0693
1.3287	7.23	311	1.0687
1.1278	7.26	312	1.0678
1.3053	7.28	313	1.0669
1.3056	7.3	314	1.0661
1.2655	7.33	315	1.0654
1.2001	7.35	316	1.0652
1.2686	7.37	317	1.0652
1.2423	7.4	318	1.0655
1.2005	7.42	319	1.0660
1.2882	7.44	320	1.0662
1.2379	7.47	321	1.0662
1.1779	7.49	322	1.0656
1.2649	7.51	323	1.0654
1.3644	7.53	324	1.0654
1.3904	7.56	325	1.0653
1.1946	7.58	326	1.0647
1.3145	7.6	327	1.0643
1.3241	7.63	328	1.0641
1.2184	7.65	329	1.0636
1.3236	7.67	330	1.0633
1.1561	7.7	331	1.0630
1.1665	7.72	332	1.0628
1.1769	7.74	333	1.0626
1.3381	7.77	334	1.0623
1.3596	7.79	335	1.0620
1.2975	7.81	336	1.0615
1.3536	7.84	337	1.0610
1.2781	7.86	338	1.0606
1.3603	7.88	339	1.0602
1.3506	7.91	340	1.0598
1.2219	7.93	341	1.0596
1.3136	7.95	342	1.0595
1.4301	7.98	343	1.0596
1.2822	8.0	344	1.0595
1.3211	8.02	345	1.0592
1.1138	8.05	346	1.0591
1.3094	8.07	347	1.0589
1.3455	8.09	348	1.0586
1.1251	8.12	349	1.0582
1.1669	8.14	350	1.0577
1.2009	8.16	351	1.0572
1.2289	8.19	352	1.0570
1.294	8.21	353	1.0567
1.3906	8.23	354	1.0565
1.1368	8.26	355	1.0562
1.255	8.28	356	1.0560
1.2174	8.3	357	1.0557
1.3693	8.33	358	1.0553
1.3344	8.35	359	1.0549
1.4558	8.37	360	1.0546
1.3396	8.4	361	1.0543
1.0955	8.42	362	1.0541
1.2509	8.44	363	1.0539
1.1303	8.47	364	1.0538
1.2599	8.49	365	1.0537
1.1635	8.51	366	1.0536
1.2345	8.53	367	1.0534
1.2716	8.56	368	1.0534
1.3879	8.58	369	1.0533
1.2097	8.6	370	1.0532
1.2209	8.63	371	1.0533
1.3697	8.65	372	1.0536
1.2573	8.67	373	1.0539
1.251	8.7	374	1.0541
1.1992	8.72	375	1.0543
1.3785	8.74	376	1.0543
1.4019	8.77	377	1.0539
1.1751	8.79	378	1.0536
1.2954	8.81	379	1.0533
1.2145	8.84	380	1.0526
1.2806	8.86	381	1.0519
1.4749	8.88	382	1.0511
1.3058	8.91	383	1.0505
1.2426	8.93	384	1.0500
1.2222	8.95	385	1.0495
1.1779	8.98	386	1.0492
1.275	9.0	387	1.0489
1.3287	9.02	388	1.0487
1.4447	9.05	389	1.0486
1.3054	9.07	390	1.0484
1.2826	9.09	391	1.0481
1.1033	9.12	392	1.0479
1.3264	9.14	393	1.0477
1.2907	9.16	394	1.0475
1.2442	9.19	395	1.0473
1.1201	9.21	396	1.0472
1.3126	9.23	397	1.0470
1.1136	9.26	398	1.0469
1.1632	9.28	399	1.0468
1.1759	9.3	400	1.0466
1.3374	9.33	401	1.0466
1.2542	9.35	402	1.0465
0.9985	9.37	403	1.0465
1.0251	9.4	404	1.0465
1.2837	9.42	405	1.0464
1.4331	9.44	406	1.0463
1.3613	9.47	407	1.0462
1.3092	9.49	408	1.0461
1.2802	9.51	409	1.0460
1.199	9.53	410	1.0460
1.4372	9.56	411	1.0459
1.1819	9.58	412	1.0459
1.1887	9.6	413	1.0458
1.0923	9.63	414	1.0457
1.3018	9.65	415	1.0456
1.2139	9.67	416	1.0454
1.264	9.7	417	1.0453
1.276	9.72	418	1.0453
1.1202	9.74	419	1.0452
1.3544	9.77	420	1.0452
1.1664	9.79	421	1.0452
1.2598	9.81	422	1.0451
1.3336	9.84	423	1.0451
1.3495	9.86	424	1.0450
1.3178	9.88	425	1.0450
1.2631	9.91	426	1.0449
1.1517	9.93	427	1.0449
1.1755	9.95	428	1.0449
1.2306	9.98	429	1.0449
1.1321	10.0	430	1.0449

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Generation
Library: transformers
Type: gpt2
License: apache-2.0
Created: Jun 4, 2023
Updated: Jun 4, 2023