great-books-bot-4

erikanesse/great-books-bot-4

great-books-bot-4 is a text generation model from erikanesse. Use it when you need the model to write or continue text. It is set up for transformers.

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

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At a glance

Task: Text Generation
Library: transformers
Model type: gpt2
Access: Public
Created: Aug 8, 2022
Updated: Aug 8, 2022
SHA: e405ccff

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Model card

From the Hugging Face model README

great-books-bot-4

This model is a fine-tuned version of erikanesse/great-books-bot on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.9485

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: 1
eval_batch_size: 8
seed: 42
distributed_type: tpu
gradient_accumulation_steps: 5
total_train_batch_size: 5
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
3.8623	0.01	20	4.0416
3.8944	0.02	40	4.0495
4.0613	0.03	60	4.0321
3.9456	0.04	80	4.0543
3.9298	0.05	100	4.0518
3.951	0.06	120	4.0281
3.8512	0.07	140	4.0309
4.0738	0.08	160	4.0358
3.9713	0.09	180	4.0130
3.9149	0.1	200	4.0469
3.9674	0.11	220	4.0395
4.1288	0.12	240	4.0422
3.9388	0.13	260	4.0552
4.0308	0.14	280	4.0643
3.9006	0.15	300	4.0624
3.9531	0.16	320	4.0482
3.985	0.17	340	4.0538
3.8275	0.18	360	4.0420
3.9002	0.19	380	4.0525
3.8415	0.2	400	4.0395
3.888	0.21	420	4.0422
3.8562	0.22	440	4.0171
3.9306	0.23	460	4.0280
3.8681	0.24	480	4.0340
3.8337	0.25	500	4.0101
3.853	0.26	520	4.0334
3.9567	0.27	540	4.0421
3.9489	0.28	560	4.0390
3.9693	0.29	580	4.0221
4.0172	0.3	600	4.0040
3.8797	0.31	620	4.0225
3.8353	0.32	640	4.0177
3.7483	0.33	660	4.0173
3.8179	0.34	680	4.0037
3.8957	0.35	700	4.0079
3.9634	0.36	720	4.0300
3.8911	0.37	740	4.0261
3.9296	0.38	760	4.0224
3.9195	0.39	780	4.0133
3.8455	0.4	800	4.0061
3.7869	0.41	820	4.0191
3.9417	0.42	840	4.0198
3.8437	0.43	860	4.0213
3.9039	0.44	880	3.9977
3.9966	0.45	900	4.0057
3.8641	0.46	920	3.9954
3.9355	0.47	940	4.0063
3.9496	0.48	960	3.9946
3.9551	0.49	980	4.0031
3.9199	0.5	1000	4.0071
3.9086	0.51	1020	3.9915
3.8584	0.52	1040	4.0360
3.8317	0.53	1060	4.0207
3.7805	0.54	1080	3.9918
3.7688	0.55	1100	3.9961
3.7708	0.56	1120	3.9960
3.8142	0.57	1140	3.9882
3.8483	0.58	1160	3.9935
3.9744	0.59	1180	3.9856
3.7912	0.6	1200	3.9911
3.8575	0.61	1220	3.9993
3.9246	0.62	1240	3.9908
3.786	0.63	1260	3.9947
3.8222	0.64	1280	3.9734
3.8651	0.65	1300	3.9748
3.8582	0.66	1320	3.9598
3.8398	0.67	1340	3.9538
3.9176	0.68	1360	3.9563
3.8013	0.69	1380	3.9660
3.9405	0.7	1400	3.9716
3.9182	0.71	1420	3.9725
3.8787	0.72	1440	3.9654
3.8406	0.73	1460	3.9525
3.8775	0.74	1480	3.9601
3.845	0.75	1500	3.9602
3.7902	0.76	1520	3.9585
3.7236	0.77	1540	3.9643
3.7734	0.78	1560	3.9600
3.7393	0.79	1580	3.9605
3.8666	0.8	1600	3.9557
3.9247	0.81	1620	3.9596
3.7902	0.82	1640	3.9545
3.7469	0.83	1660	3.9552
3.7093	0.84	1680	3.9573
3.8674	0.85	1700	3.9568
3.8095	0.86	1720	3.9546
3.899	0.87	1740	3.9537
3.806	0.88	1760	3.9541
3.8183	0.89	1780	3.9610
3.7686	0.9	1800	3.9537
3.7624	0.91	1820	3.9535
3.8613	0.92	1840	3.9497
3.6526	0.93	1860	3.9491
3.7679	0.94	1880	3.9518
3.7848	0.95	1900	3.9523
3.7083	0.96	1920	3.9492
3.8315	0.97	1940	3.9484
3.7784	0.98	1960	3.9485
3.8287	0.99	1980	3.9484
3.8246	1.0	2000	3.9485

Framework versions

Transformers 4.21.1
Pytorch 1.9.0+cu102
Datasets 2.4.0
Tokenizers 0.12.1

Task: Text Generation
Library: transformers
Type: gpt2
Created: Aug 8, 2022
Updated: Aug 8, 2022