results

jkhan447/results

results is a text classification model from jkhan447. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

Downloads · 30 days

24% of all-time downloads

All-time downloads

Public

Repo size

9.9 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.4 GB · 100%

At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: gpt2
Access: Public
Created: Aug 14, 2023
Updated: Aug 16, 2023
SHA: 949c25db

Try a prompt

Base models

Model card

From the Hugging Face model README

results

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

Loss: 0.5570
Accuracy: 0.7508

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6473	0.04	50	0.5683	0.7454
0.6367	0.07	100	0.5670	0.7525
0.6016	0.11	150	0.5676	0.7508
0.6014	0.14	200	0.5498	0.75
0.5801	0.18	250	0.5446	0.75
0.4534	0.21	300	0.5383	0.7512
0.669	0.25	350	0.5700	0.75
0.5556	0.29	400	0.5536	0.7496
0.5652	0.32	450	0.6341	0.75
0.5801	0.36	500	0.5416	0.7454
0.6476	0.39	550	0.5319	0.7508
0.5473	0.43	600	0.5422	0.7492
0.5094	0.46	650	0.5532	0.7504
0.5656	0.5	700	0.5375	0.7504
0.532	0.54	750	0.5617	0.7137
0.5738	0.57	800	0.5501	0.7521
0.544	0.61	850	0.5449	0.7538
0.5271	0.64	900	0.5682	0.7496
0.9725	0.68	950	0.7980	0.4921
0.5955	0.71	1000	0.5220	0.7538
0.5588	0.75	1050	0.5247	0.75
0.612	0.79	1100	0.5183	0.7483
0.6124	0.82	1150	0.5260	0.7542
0.421	0.86	1200	0.5509	0.7508
0.4582	0.89	1250	0.5249	0.75
0.588	0.93	1300	0.5633	0.7267
0.549	0.96	1350	0.5179	0.7492
0.495	1.0	1400	0.5456	0.7512
0.435	1.04	1450	0.5596	0.7504
0.6061	1.07	1500	0.5421	0.7433
0.5542	1.11	1550	0.5117	0.7554
0.4277	1.14	1600	0.5291	0.7521
0.4415	1.18	1650	0.5354	0.7538
0.5029	1.21	1700	0.5084	0.7579
0.6079	1.25	1750	0.5798	0.7554
0.5692	1.29	1800	0.5003	0.755
0.5297	1.32	1850	0.5563	0.7588
0.6938	1.36	1900	0.5064	0.7529
0.5679	1.39	1950	0.5505	0.7508
0.4503	1.43	2000	0.5133	0.7554
0.519	1.46	2050	0.4946	0.7525
0.513	1.5	2100	0.5156	0.7283
0.5393	1.54	2150	0.5003	0.7546
0.6162	1.57	2200	0.4916	0.7625
0.5526	1.61	2250	0.4980	0.755
0.4472	1.64	2300	0.5001	0.76
0.5678	1.68	2350	0.4958	0.7558
0.3894	1.71	2400	0.4968	0.7646
0.4086	1.75	2450	0.5065	0.7583
0.4652	1.79	2500	0.5091	0.7567
0.4837	1.82	2550	0.5190	0.7312
0.4745	1.86	2600	0.4998	0.7567
0.456	1.89	2650	0.5035	0.7558
0.5784	1.93	2700	0.4997	0.7504
0.452	1.96	2750	0.5315	0.7517
0.5682	2.0	2800	0.5827	0.7521
0.6134	2.04	2850	0.4944	0.7421
0.3451	2.07	2900	0.5505	0.7575
0.3682	2.11	2950	0.5122	0.7504
0.3737	2.14	3000	0.8033	0.7546
0.4899	2.18	3050	0.5645	0.7446
0.4885	2.21	3100	0.5229	0.7554
0.4121	2.25	3150	0.5172	0.7425
0.3926	2.29	3200	0.5685	0.7512
0.4242	2.32	3250	0.5380	0.7425
0.4133	2.36	3300	0.5996	0.7488
0.4322	2.39	3350	0.5769	0.7533
0.4561	2.43	3400	0.5525	0.7583
0.2765	2.46	3450	0.5399	0.7546
0.4422	2.5	3500	0.5782	0.7554
0.4343	2.54	3550	0.5325	0.7338
0.3551	2.57	3600	0.5518	0.7504
0.4058	2.61	3650	0.5585	0.7579
0.4838	2.64	3700	0.5433	0.7379
0.3821	2.68	3750	0.5244	0.7562
0.4906	2.71	3800	0.5202	0.7525
0.3046	2.75	3850	0.5430	0.7575
0.4317	2.79	3900	0.5369	0.7546
0.5641	2.82	3950	0.5406	0.7546
0.4866	2.86	4000	0.5454	0.7546
0.3687	2.89	4050	0.5450	0.7558
0.484	2.93	4100	0.5456	0.7521
0.2599	2.96	4150	0.5472	0.7533
0.3381	3.0	4200	0.5461	0.7508

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: gpt2
License: mit
Created: Aug 14, 2023
Updated: Aug 16, 2023