chesspythia-70m-random_1M

superlazycoder/chesspythia-70m-random_1M

chesspythia-70m-random_1M is a text generation model from superlazycoder. 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. --

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At a glance

Task: Text Generation
Library: transformers
License: apache-2.0
Model type: gpt_neox
Access: Public
Created: Jan 17, 2024
Updated: Jan 17, 2024
SHA: 42c584e0

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Base models

EleutherAI/pythia-70m-deduped

Model card

From the Hugging Face model README

chesspythia-70m-random_1M

This model is a fine-tuned version of EleutherAI/pythia-70m-deduped on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9894

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: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.4951	0.01	25	1.5347
1.356	0.02	50	1.3895
1.316	0.03	75	1.3312
1.2512	0.04	100	1.2981
1.2981	0.05	125	1.2738
1.2777	0.06	150	1.2508
1.2913	0.07	175	1.2362
1.2591	0.08	200	1.2201
1.1763	0.09	225	1.2136
1.1835	0.1	250	1.2001
1.1913	0.11	275	1.1864
1.1828	0.12	300	1.1787
1.1523	0.13	325	1.1708
1.2038	0.14	350	1.1653
1.1555	0.15	375	1.1591
1.1235	0.16	400	1.1611
1.1431	0.17	425	1.1484
1.1355	0.18	450	1.1470
1.1464	0.19	475	1.1354
1.146	0.2	500	1.1335
1.1471	0.21	525	1.1241
1.1568	0.22	550	1.1243
1.1565	0.23	575	1.1247
1.1253	0.24	600	1.1160
1.1002	0.25	625	1.1081
1.1356	0.26	650	1.1067
1.0997	0.27	675	1.1074
1.1092	0.28	700	1.1007
1.1016	0.29	725	1.1019
1.0578	0.3	750	1.0897
1.0588	0.31	775	1.0867
1.063	0.32	800	1.0901
1.0559	0.33	825	1.0885
1.1272	0.34	850	1.0841
1.0762	0.35	875	1.0797
1.0842	0.36	900	1.0793
1.0566	0.37	925	1.0744
1.0712	0.38	950	1.0682
1.076	0.39	975	1.0692
1.0624	0.4	1000	1.0670
1.0541	0.41	1025	1.0599
1.0292	0.42	1050	1.0601
1.0788	0.43	1075	1.0536
1.0846	0.44	1100	1.0530
1.0547	0.45	1125	1.0562
0.9978	0.46	1150	1.0483
1.0261	0.47	1175	1.0470
1.0031	0.48	1200	1.0475
1.0141	0.49	1225	1.0442
1.064	0.5	1250	1.0416
1.0154	0.51	1275	1.0408
1.0474	0.52	1300	1.0383
1.0392	0.53	1325	1.0380
1.036	0.54	1350	1.0360
1.0325	0.55	1375	1.0312
1.062	0.56	1400	1.0308
1.0601	0.57	1425	1.0282
1.0287	0.58	1450	1.0274
0.9944	0.59	1475	1.0249
1.0302	0.6	1500	1.0241
1.0188	0.61	1525	1.0210
0.8968	0.62	1550	1.0211
0.9661	0.63	1575	1.0176
1.0741	0.64	1600	1.0182
1.0666	0.65	1625	1.0156
1.0623	0.66	1650	1.0138
1.0435	0.67	1675	1.0117
0.9892	0.68	1700	1.0117
0.9941	0.69	1725	1.0097
0.967	0.7	1750	1.0092
1.0387	0.71	1775	1.0074
0.9718	0.72	1800	1.0056
0.9841	0.73	1825	1.0049
1.0086	0.74	1850	1.0038
0.9855	0.75	1875	1.0025
1.0174	0.76	1900	1.0022
0.9725	0.77	1925	1.0003
0.987	0.78	1950	0.9989
1.0133	0.79	1975	0.9979
0.9978	0.8	2000	0.9974
1.0193	0.81	2025	0.9960
0.9842	0.82	2050	0.9955
0.9316	0.83	2075	0.9952
1.0233	0.84	2100	0.9940
1.0054	0.85	2125	0.9930
0.922	0.86	2150	0.9933
1.0309	0.87	2175	0.9925
0.975	0.88	2200	0.9917
1.0108	0.89	2225	0.9915
0.9418	0.9	2250	0.9911
0.9445	0.91	2275	0.9907
0.9973	0.92	2300	0.9903
1.0052	0.93	2325	0.9900
0.9347	0.94	2350	0.9899
0.954	0.95	2375	0.9897
0.9857	0.96	2400	0.9896
0.958	0.97	2425	0.9895
1.0051	0.98	2450	0.9894
0.9999	0.99	2475	0.9894
0.959	1.0	2500	0.9894

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0

Task: Text Generation
Library: transformers
Type: gpt_neox
License: apache-2.0
Created: Jan 17, 2024
Updated: Jan 17, 2024