sourceformer-epoch30 – AI Model by eerichmond33 | AlphaNeural AI

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eerichmond33/
sourceformer-epoch30

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text-generation

generated_from_trainer

autotrain_compatible

endpoints_compatible

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v29

This model is a fine-tuned version of EleutherAI/gpt-neo-1.3B on the None dataset. It achieves the following results on the evaluation set:

Loss: 5.1914
Accuracy: 0.3454

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: 1e-05
train_batch_size: 4
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 8
total_eval_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 210
num_epochs: 30.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.7512	1.0	72	2.7871	0.4451
2.6444	2.0	144	2.7832	0.4452
2.5407	3.0	216	2.7930	0.4429
2.4257	4.0	288	2.8125	0.4411
2.3014	5.0	360	2.8477	0.4377
2.1749	6.0	432	2.8945	0.4328
2.0323	7.0	504	2.9668	0.4256
1.8754	8.0	576	3.0352	0.4197
1.7043	9.0	648	3.1504	0.4117
1.5224	10.0	720	3.2773	0.4029
1.3273	11.0	792	3.4141	0.3945
1.1364	12.0	864	3.5625	0.3869
0.9499	13.0	936	3.7422	0.3784
0.7793	14.0	1008	3.8906	0.3731
0.6176	15.0	1080	4.0625	0.3669
0.4873	16.0	1152	4.1836	0.3630
0.3717	17.0	1224	4.3281	0.3589
0.2797	18.0	1296	4.4570	0.3564
0.2054	19.0	1368	4.5703	0.3539
0.1517	20.0	1440	4.6719	0.3525
0.1115	21.0	1512	4.7539	0.3511
0.0854	22.0	1584	4.8359	0.3494
0.0669	23.0	1656	4.9062	0.3492
0.0494	24.0	1728	4.9609	0.3486
0.0377	25.0	1800	5.0273	0.3472
0.0302	26.0	1872	5.0625	0.3471
0.026	27.0	1944	5.1406	0.3455
0.0255	28.0	2016	5.1211	0.3465
0.0241	29.0	2088	5.1367	0.3466
0.0197	30.0	2160	5.1914	0.3454

Framework versions

Transformers 4.29.2
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.3