gpt_trinity_2_4_3e-5_lp5_nb5

nlp04/gpt_trinity_2_4_3e-5_lp5_nb5

gpt_trinity_2_4_3e-5_lp5_nb5 is a text generation model from nlp04. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.

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

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At a glance

Task: Text Generation
Library: transformers
License: cc-by-nc-sa-4.0
Model type: gpt2
Access: Public
Created: Jan 31, 2023
Updated: Jan 31, 2023
SHA: fd1bb2a7

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Model card

From the Hugging Face model README

gpt_trinity_2_4_3e-5_lp5_nb5

This model is a fine-tuned version of skt/kogpt2-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.0291

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: 3e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.5765	0.05	1000	4.1247
3.19	0.09	2000	4.0578
3.1177	0.14	3000	4.0708
3.1116	0.19	4000	4.0654
3.0777	0.24	5000	4.0857
3.1105	0.28	6000	4.1127
3.1018	0.33	7000	4.1410
3.0728	0.38	8000	4.1834
3.1248	0.42	9000	4.2058
3.1035	0.47	10000	4.2048
3.0943	0.52	11000	4.1892
3.0724	0.57	12000	4.2063
3.0517	0.61	13000	4.1923
3.0372	0.66	14000	4.2112
3.0235	0.71	15000	4.2043
3.0329	0.76	16000	4.1630
3.0171	0.8	17000	4.1631
2.9997	0.85	18000	4.1563
2.9913	0.9	19000	4.1616
2.9579	0.94	20000	4.1494
2.9576	0.99	21000	4.1367
2.7461	1.04	22000	4.1593
2.7637	1.09	23000	4.1453
2.741	1.13	24000	4.1624
2.7514	1.18	25000	4.1357
2.755	1.23	26000	4.1524
2.7365	1.27	27000	4.1399
2.7356	1.32	28000	4.1285
2.7386	1.37	29000	4.1286
2.7489	1.42	30000	4.1231
2.7518	1.46	31000	4.1104
2.7317	1.51	32000	4.1202
2.7378	1.56	33000	4.1132
2.7309	1.6	34000	4.1047
2.7791	1.65	35000	4.0976
2.7427	1.7	36000	4.0874
2.7184	1.75	37000	4.0953
2.7107	1.79	38000	4.0963
2.7122	1.84	39000	4.0841
2.7172	1.89	40000	4.0852
2.7126	1.94	41000	4.0632
2.7063	1.98	42000	4.0643
2.5311	2.03	43000	4.0848
2.4496	2.08	44000	4.0943
2.4597	2.12	45000	4.0799
2.4472	2.17	46000	4.0802
2.4628	2.22	47000	4.0880
2.4508	2.27	48000	4.0791
2.4743	2.31	49000	4.0765
2.4692	2.36	50000	4.0739
2.4651	2.41	51000	4.0690
2.4885	2.45	52000	4.0723
2.5023	2.5	53000	4.0675
2.4651	2.55	54000	4.0649
2.4774	2.6	55000	4.0695
2.4717	2.64	56000	4.0559
2.4856	2.69	57000	4.0512
2.4572	2.74	58000	4.0473
2.486	2.79	59000	4.0438
2.449	2.83	60000	4.0385
2.456	2.88	61000	4.0355
2.4802	2.93	62000	4.0378
2.4635	2.97	63000	4.0308
2.3742	3.02	64000	4.0488
2.2371	3.07	65000	4.0579
2.2496	3.12	66000	4.0630
2.2758	3.16	67000	4.0516
2.2489	3.21	68000	4.0585
2.2374	3.26	69000	4.0715
2.2862	3.3	70000	4.0507
2.2502	3.35	71000	4.0512
2.238	3.4	72000	4.0545
2.2407	3.45	73000	4.0459
2.2529	3.49	74000	4.0452
2.2453	3.54	75000	4.0459
2.2314	3.59	76000	4.0416
2.2408	3.63	77000	4.0379
2.2497	3.68	78000	4.0348
2.2475	3.73	79000	4.0374
2.2376	3.78	80000	4.0319
2.244	3.82	81000	4.0331
2.2611	3.87	82000	4.0306
2.237	3.92	83000	4.0301
2.2337	3.97	84000	4.0291

Framework versions

Transformers 4.25.1
Pytorch 1.9.0+cu102
Datasets 2.8.0
Tokenizers 0.13.2

Task: Text Generation
Library: transformers
Type: gpt2
License: cc-by-nc-sa-4.0
Created: Jan 31, 2023
Updated: Jan 31, 2023