This model is a fine-tuned version of gpt2 on the tyzhu/wikitext-103-raw-v1-sent-permute-9 default dataset. It achieves the following results on the evaluation set:

Loss: 2.8110
Accuracy: 0.4528

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: linear
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.1679	0.05	886	2.9677	0.4343
3.1104	0.1	1772	2.9295	0.4389
3.0801	0.15	2658	2.9060	0.4415
3.0538	0.2	3544	2.8885	0.4437
3.038	0.25	4430	2.8755	0.4451
3.0205	0.3	5316	2.8642	0.4464
3.007	0.35	6202	2.8554	0.4475
2.9944	0.4	7088	2.8482	0.4486
2.9904	0.45	7974	2.8409	0.4495
2.984	0.5	8860	2.8355	0.4502
2.9783	0.55	9746	2.8307	0.4502
2.973	0.6	10632	2.8271	0.4508
2.9652	0.65	11518	2.8228	0.4516
2.9645	0.7	12404	2.8203	0.4521
2.9609	0.75	13290	2.8178	0.4524
2.9583	0.8	14176	2.8158	0.4524
2.9548	0.85	15062	2.8135	0.4525
2.9497	0.9	15948	2.8122	0.4529
2.9516	0.95	16834	2.8113	0.4527

Framework versions

Transformers 4.34.0
Pytorch 2.1.0+cu121
Datasets 2.14.5
Tokenizers 0.14.1

tyzhu/wikitext-103-raw-v1-sent-permute-9_default_gpt2

wikitext-103-raw-v1-sent-permute-9_default_gpt2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tyzhu/
wikitext-103-raw-v1-sent-permute-9_default_gpt2