albert-random-3

woody72/albert-random-3

albert-random-3 is a text generation model from woody72. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.

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

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13.8 GB on disk

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Hugging Face

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At a glance

Task: Text Generation
Library: transformers
License: other
Model type: llama
Access: Public
Created: Feb 25, 2024
Updated: Feb 25, 2024
SHA: 80a81c92

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Base models

deepseek-ai/deepseek-math-7b-base

Model card

From the Hugging Face model README

albert-random-3

This model is a fine-tuned version of deepseek-ai/deepseek-math-7b-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0375

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-06
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.802	0.01	1	0.4394
0.8	0.01	2	0.4325
0.7741	0.02	3	0.4256
0.7764	0.03	4	0.4207
0.756	0.03	5	0.4180
0.7324	0.04	6	0.4137
0.7399	0.04	7	0.4102
0.6939	0.05	8	0.4063
0.5255	0.06	9	0.4014
0.522	0.06	10	0.4000
0.5147	0.07	11	0.3937
0.5088	0.08	12	0.3893
0.5033	0.08	13	0.3856
0.5035	0.09	14	0.3826
0.494	0.1	15	0.3783
0.4919	0.1	16	0.3748
0.49	0.11	17	0.3721
0.4856	0.12	18	0.3673
0.4726	0.12	19	0.3653
0.47	0.13	20	0.3611
0.4539	0.13	21	0.3561
0.4553	0.14	22	0.3524
0.4529	0.15	23	0.3486
0.3904	0.15	24	0.3453
0.3481	0.16	25	0.3412
0.3392	0.17	26	0.3377
0.3384	0.17	27	0.3330
0.3353	0.18	28	0.3303
0.3278	0.19	29	0.3266
0.3286	0.19	30	0.3230
0.3197	0.2	31	0.3201
0.3173	0.2	32	0.3161
0.3058	0.21	33	0.3131
0.3183	0.22	34	0.3081
0.3043	0.22	35	0.3043
0.3051	0.23	36	0.2996
0.2966	0.24	37	0.2979
0.2995	0.24	38	0.2936
0.2929	0.25	39	0.2896
0.2434	0.26	40	0.2858
0.24	0.26	41	0.2817
0.2339	0.27	42	0.2777
0.2353	0.28	43	0.2750
0.2355	0.28	44	0.2724
0.2285	0.29	45	0.2666
0.2264	0.29	46	0.2631
0.2215	0.3	47	0.2578
0.2151	0.31	48	0.2542
0.2178	0.31	49	0.2502
0.2139	0.32	50	0.2461
0.2028	0.33	51	0.2416
0.2046	0.33	52	0.2372
0.2071	0.34	53	0.2326
0.1921	0.35	54	0.2287
0.1912	0.35	55	0.2238
0.1724	0.36	56	0.2182
0.1675	0.36	57	0.2147
0.1653	0.37	58	0.2105
0.1585	0.38	59	0.2047
0.1546	0.38	60	0.2013
0.1507	0.39	61	0.1966
0.1552	0.4	62	0.1923
0.1417	0.4	63	0.1876
0.142	0.41	64	0.1831
0.1387	0.42	65	0.1788
0.1315	0.42	66	0.1735
0.1358	0.43	67	0.1693
0.1312	0.44	68	0.1637
0.1305	0.44	69	0.1596
0.1269	0.45	70	0.1551
0.1278	0.45	71	0.1498
0.1193	0.46	72	0.1451
0.1175	0.47	73	0.1392
0.1132	0.47	74	0.1351
0.1098	0.48	75	0.1298
0.1092	0.49	76	0.1254
0.0992	0.49	77	0.1197
0.1	0.5	78	0.1142
0.0929	0.51	79	0.1090
0.0875	0.51	80	0.1048
0.091	0.52	81	0.1006
0.083	0.52	82	0.0963
0.0814	0.53	83	0.0921
0.0818	0.54	84	0.0895
0.0748	0.54	85	0.0869
0.0758	0.55	86	0.0843
0.0779	0.56	87	0.0817
0.081	0.56	88	0.0797
0.0706	0.57	89	0.0778
0.0607	0.58	90	0.0762
0.0642	0.58	91	0.0744
0.0649	0.59	92	0.0729
0.0631	0.6	93	0.0719
0.0594	0.6	94	0.0698
0.0578	0.61	95	0.0692
0.0616	0.61	96	0.0680
0.0567	0.62	97	0.0669
0.0558	0.63	98	0.0655
0.0536	0.63	99	0.0642
0.0551	0.64	100	0.0639
0.0509	0.65	101	0.0627
0.06	0.65	102	0.0616
0.053	0.66	103	0.0608
0.0587	0.67	104	0.0612
0.0509	0.67	105	0.0592
0.0489	0.68	106	0.0584
0.0515	0.68	107	0.0579
0.0515	0.69	108	0.0564
0.0485	0.7	109	0.0558
0.0496	0.7	110	0.0544
0.0471	0.71	111	0.0534
0.0514	0.72	112	0.0524
0.0458	0.72	113	0.0522
0.0454	0.73	114	0.0515
0.0435	0.74	115	0.0511
0.0475	0.74	116	0.0503
0.0506	0.75	117	0.0497
0.0452	0.76	118	0.0492
0.0468	0.76	119	0.0488
0.0446	0.77	120	0.0487
0.0419	0.77	121	0.0481
0.0414	0.78	122	0.0477
0.0424	0.79	123	0.0467
0.044	0.79	124	0.0465
0.0413	0.8	125	0.0460
0.0439	0.81	126	0.0455
0.0391	0.81	127	0.0453
0.0407	0.82	128	0.0451
0.0357	0.83	129	0.0446
0.0387	0.83	130	0.0443
0.0411	0.84	131	0.0442
0.0396	0.84	132	0.0438
0.039	0.85	133	0.0435
0.0427	0.86	134	0.0432
0.0417	0.86	135	0.0427
0.035	0.87	136	0.0425
0.036	0.88	137	0.0425
0.0391	0.88	138	0.0419
0.0389	0.89	139	0.0414
0.042	0.9	140	0.0413
0.0368	0.9	141	0.0415
0.0336	0.91	142	0.0406
0.0356	0.92	143	0.0405
0.0349	0.92	144	0.0400
0.04	0.93	145	0.0401
0.0398	0.93	146	0.0397
0.0333	0.94	147	0.0398
0.0344	0.95	148	0.0390
0.037	0.95	149	0.0396
0.0327	0.96	150	0.0382
0.0336	0.97	151	0.0383
0.0342	0.97	152	0.0378
0.0348	0.98	153	0.0373
0.0368	0.99	154	0.0380
0.0333	0.99	155	0.0376
0.0344	1.0	156	0.0375

Framework versions

Transformers 4.37.2
Pytorch 2.1.0a0+32f93b1
Datasets 2.17.1
Tokenizers 0.15.2

Task: Text Generation
Library: transformers
Type: llama
License: other
Created: Feb 25, 2024
Updated: Feb 25, 2024