gpt-neo-pl-125m

mbien/gpt-neo-pl-125m

gpt-neo-pl-125m is a text generation model from mbien. 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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Datasets

wikipedia

Model card

From the Hugging Face model README

gpt_neo_pl_125M_v2

This model was trained from scratch on the wikipedia 20220720.pl dataset. It achieves the following results on the evaluation set:

Loss: 3.3862
Accuracy: 0.4313

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: 0.0002
train_batch_size: 1
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
5.9469	0.02	1000	6.5843	0.1435
4.9953	0.05	2000	5.7709	0.1911
4.3754	0.07	3000	5.2624	0.2331
3.9795	0.1	4000	4.8752	0.2731
3.7099	0.12	5000	4.5927	0.3039
3.4747	0.15	6000	4.3942	0.3230
3.343	0.17	7000	4.2879	0.3349
3.2767	0.2	8000	4.1698	0.3459
3.1852	0.22	9000	4.0925	0.3534
3.0871	0.25	10000	4.0239	0.3608
3.0746	0.27	11000	3.9646	0.3664
2.9473	0.3	12000	3.9245	0.3706
2.9737	0.32	13000	3.8742	0.3754
2.9193	0.35	14000	3.8285	0.3796
2.8833	0.37	15000	3.7952	0.3837
2.8533	0.4	16000	3.7616	0.3873
2.8654	0.42	17000	3.7296	0.3907
2.8196	0.44	18000	3.7049	0.3936
2.7883	0.47	19000	3.6786	0.3966
2.747	0.49	20000	3.6488	0.3990
2.7355	0.52	21000	3.6243	0.4021
2.7355	0.54	22000	3.5982	0.4053
2.6999	0.57	23000	3.5765	0.4075
2.7243	0.59	24000	3.5558	0.4101
2.6526	0.62	25000	3.5371	0.4125
2.641	0.64	26000	3.5150	0.4146
2.6602	0.67	27000	3.4971	0.4168
2.644	0.69	28000	3.4812	0.4192
2.6558	0.72	29000	3.4622	0.4215
2.5664	0.74	30000	3.4504	0.4229
2.5669	0.77	31000	3.4376	0.4245
2.5498	0.79	32000	3.4263	0.4263
2.5874	0.82	33000	3.4169	0.4274
2.5555	0.84	34000	3.4067	0.4286
2.5502	0.86	35000	3.3997	0.4298
2.5232	0.89	36000	3.3946	0.4302
2.5369	0.91	37000	3.3898	0.4309
2.5335	0.94	38000	3.3869	0.4313
2.6032	0.96	39000	3.3853	0.4315
2.5244	0.99	40000	3.3850	0.4314

Framework versions

Transformers 4.22.0.dev0
Pytorch 1.12.0
Datasets 2.4.0
Tokenizers 0.12.1

Task: Text Generation
Library: transformers
Type: gpt_neo
Languages: pl
Created: Aug 30, 2023
Updated: Aug 30, 2023