47015772_2

ke-lly/47015772_2

47015772_2 is a text generation model from ke-lly. 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. --

Downloads · 30 days

19% of all-time downloads

All-time downloads

Public

Parameters

124M

10 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors498 MB · 99%

At a glance

Task: Text Generation
Library: transformers
License: mit
Model type: gpt2
Access: Public
Created: May 27, 2024
Updated: May 28, 2024
SHA: 945141e1

Try a prompt

Base models

openai-community/gpt2

Model card

From the Hugging Face model README

47015772_2

This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6622
Accuracy: 0.0001

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: 1.41e-05
train_batch_size: 32
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 256
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 2000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0551	0.01	25	0.9816	0.0001
0.8806	0.01	50	0.8239	0.0001
0.8218	0.02	75	0.7796	0.0001
0.7854	0.02	100	0.7578	0.0001
0.7887	0.03	125	0.7440	0.0000
0.7675	0.03	150	0.7347	0.0001
0.7552	0.04	175	0.7275	0.0001
0.7493	0.04	200	0.7230	0.0001
0.7471	0.05	225	0.7187	0.0000
0.7376	0.06	250	0.7147	0.0001
0.7341	0.06	275	0.7119	0.0001
0.7387	0.07	300	0.7091	0.0001
0.7364	0.07	325	0.7069	0.0001
0.7179	0.08	350	0.7039	0.0001
0.7145	0.08	375	0.7016	0.0000
0.7204	0.09	400	0.6989	0.0000
0.7236	0.1	425	0.6963	0.0000
0.7099	0.1	450	0.6944	0.0000
0.7137	0.11	475	0.6927	0.0001
0.7106	0.11	500	0.6900	0.0000
0.7074	0.12	525	0.6884	0.0001
0.7141	0.12	550	0.6871	0.0000
0.7053	0.13	575	0.6856	0.0001
0.7082	0.13	600	0.6849	0.0000
0.704	0.14	625	0.6841	0.0001
0.7057	0.15	650	0.6828	0.0001
0.7027	0.15	675	0.6813	0.0001
0.6951	0.16	700	0.6807	0.0001
0.6943	0.16	725	0.6795	0.0001
0.7063	0.17	750	0.6781	0.0001
0.6888	0.17	775	0.6777	0.0001
0.7	0.18	800	0.6769	0.0001
0.6905	0.19	825	0.6762	0.0001
0.7005	0.19	850	0.6756	0.0001
0.6968	0.2	875	0.6747	0.0000
0.6895	0.2	900	0.6743	0.0001
0.6935	0.21	925	0.6732	0.0001
0.7006	0.21	950	0.6727	0.0001
0.6862	0.22	975	0.6722	0.0001
0.6921	0.22	1000	0.6716	0.0001
0.6875	0.23	1025	0.6710	0.0001
0.6971	0.24	1050	0.6705	0.0001
0.692	0.24	1075	0.6702	0.0001
0.686	0.25	1100	0.6693	0.0001
0.6876	0.25	1125	0.6692	0.0001
0.6834	0.26	1150	0.6686	0.0001
0.7024	0.26	1175	0.6683	0.0001
0.6931	0.27	1200	0.6678	0.0001
0.6764	0.28	1225	0.6677	0.0001
0.6914	0.28	1250	0.6672	0.0001
0.6916	0.29	1275	0.6667	0.0001
0.6808	0.29	1300	0.6665	0.0001
0.6789	0.3	1325	0.6661	0.0001
0.6803	0.3	1350	0.6659	0.0001
0.6892	0.31	1375	0.6656	0.0001
0.6749	0.31	1400	0.6654	0.0001
0.6823	0.32	1425	0.6648	0.0001
0.6827	0.33	1450	0.6648	0.0001
0.6826	0.33	1475	0.6647	0.0001
0.6813	0.34	1500	0.6645	0.0001
0.6864	0.34	1525	0.6641	0.0001
0.6809	0.35	1550	0.6639	0.0001
0.6779	0.35	1575	0.6639	0.0001
0.687	0.36	1600	0.6635	0.0001
0.6824	0.37	1625	0.6635	0.0001
0.6816	0.37	1650	0.6631	0.0001
0.6773	0.38	1675	0.6632	0.0001
0.6788	0.38	1700	0.6630	0.0001
0.6739	0.39	1725	0.6630	0.0001
0.6773	0.39	1750	0.6629	0.0001
0.6742	0.4	1775	0.6628	0.0001
0.6797	0.4	1800	0.6626	0.0001
0.6861	0.41	1825	0.6627	0.0001
0.686	0.42	1850	0.6625	0.0001
0.6711	0.42	1875	0.6624	0.0001
0.6773	0.43	1900	0.6624	0.0001
0.6844	0.43	1925	0.6623	0.0001
0.6809	0.44	1950	0.6622	0.0001
0.6766	0.44	1975	0.6622	0.0001
0.6733	0.45	2000	0.6622	0.0001

Framework versions

Transformers 4.37.0
Pytorch 2.0.0+cu118
Datasets 2.16.1
Tokenizers 0.15.1

Task: Text Generation
Library: transformers
Type: gpt2
License: mit
Created: May 27, 2024
Updated: May 28, 2024