gpt2-mul – AI Model by Xmaster6y | AlphaNeural AI

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Xmaster6y/
gpt2-mul

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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gpt2-multi

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

Loss: 5.6627

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss
1.8011	1.0	6	3.8540
1.6433	2.0	12	4.4045
1.4762	3.0	18	4.2463
1.3941	4.0	24	4.9549
1.3447	5.0	30	5.3510
1.337	6.0	36	4.9287
1.36	7.0	42	5.3027
1.0973	8.0	48	5.2258
1.0005	9.0	54	5.7433
0.9298	10.0	60	5.5088
1.0995	11.0	66	5.5535
1.0031	12.0	72	5.6627

Framework versions

Transformers 4.27.2
Pytorch 2.0.0+cu117
Datasets 2.10.1
Tokenizers 0.13.2