gpt2-10var

augustocsc/gpt2-10var

gpt2-10var is a text generation model from augustocsc. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Text Generation
Library: transformers
License: mit
Model type: gpt2
Access: Public
Created: Dec 11, 2023
Updated: Jan 7, 2024
SHA: 12717516

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Base models

Model card

From the Hugging Face model README

gpt2-10var

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1102

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: 256
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.04	200	0.2493
No log	0.08	400	0.3971
0.4919	0.12	600	0.6197
0.4919	0.16	800	0.5482
0.9307	0.2	1000	0.8619
0.9307	0.24	1200	0.5619
0.9307	0.28	1400	0.7757
1.6552	0.32	1600	0.5050
1.6552	0.36	1800	1.1518
1.1387	0.4	2000	1.0939
1.1387	0.44	2200	9.2829
1.1387	0.48	2400	0.2714
8.5966	0.52	2600	0.1263
8.5966	0.56	2800	0.1191
0.1233	0.6	3000	0.1161
0.1233	0.64	3200	0.1150
0.1233	0.67	3400	0.1145
0.1166	0.71	3600	0.1138
0.1166	0.75	3800	0.1135
0.1151	0.79	4000	0.1132
0.1151	0.83	4200	0.1130
0.1151	0.87	4400	0.1125
0.1131	0.91	4600	0.1122
0.1131	0.95	4800	0.1119
0.1132	0.99	5000	0.1116
0.1132	1.03	5200	0.1115
0.1132	1.07	5400	0.1115
0.1123	1.11	5600	0.1112
0.1123	1.15	5800	0.1111
0.1116	1.19	6000	0.1110
0.1116	1.23	6200	0.1110
0.1116	1.27	6400	0.1108
0.1132	1.31	6600	0.1107
0.1132	1.35	6800	0.1122
0.2039	1.39	7000	0.1110
0.2039	1.43	7200	0.1108
0.2039	1.47	7400	0.1106
0.1107	1.51	7600	0.1106
0.1107	1.55	7800	0.1105
0.1115	1.59	8000	0.1104
0.1115	1.63	8200	0.1104
0.1115	1.67	8400	0.1104
0.1106	1.71	8600	0.1104
0.1106	1.75	8800	0.1103
0.1092	1.79	9000	0.1103
0.1092	1.83	9200	0.1103
0.1092	1.87	9400	0.1102
0.111	1.91	9600	0.1102
0.111	1.94	9800	0.1102
0.1109	1.98	10000	0.1102

Framework versions

Transformers 4.33.3
Pytorch 2.0.1
Datasets 2.14.5
Tokenizers 0.13.3

Task: Text Generation
Library: transformers
Type: gpt2
License: mit
Created: Dec 11, 2023
Updated: Jan 7, 2024