gpt2-no_ear-loto_migrants – AI Model by Bainbridge | AlphaNeural AI

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Bainbridge/
gpt2-no_ear-loto_migrants

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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gpt2-no_ear-loto_migrants

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

Loss: 0.5187

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: 4
seed: 21
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
72.7055	0.03	10	64.5599
31.1168	0.06	20	18.0645
7.9718	0.08	30	6.4249
3.593	0.11	40	2.8392
1.5931	0.14	50	1.1970
0.9132	0.17	60	0.8438
0.9833	0.2	70	0.7343
0.7158	0.23	80	0.6462
0.6371	0.25	90	0.6704
0.5655	0.28	100	0.6012
0.6755	0.31	110	0.5922
0.6232	0.34	120	0.5784
0.5715	0.37	130	0.5718
0.5352	0.4	140	0.5650
0.5183	0.42	150	0.5605
0.6424	0.45	160	0.5563
0.586	0.48	170	0.5515
0.58	0.51	180	0.5454
0.5932	0.54	190	0.5439
0.5204	0.57	200	0.5377
0.5654	0.59	210	0.5359
0.5129	0.62	220	0.5366
0.5451	0.65	230	0.5330
0.5637	0.68	240	0.5316
0.6052	0.71	250	0.5326
0.5741	0.74	260	0.5286
0.5437	0.76	270	0.5247
0.531	0.79	280	0.5262
0.566	0.82	290	0.5228
0.6128	0.85	300	0.5197
0.6034	0.88	310	0.5173
0.5983	0.91	320	0.5211
0.5023	0.93	330	0.5212
0.5662	0.96	340	0.5187

Framework versions

Transformers 4.28.0
Pytorch 1.11.0+cu113
Datasets 2.11.0
Tokenizers 0.13.3