kgpt2 – AI Model by akaigraham | AlphaNeural AI

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akaigraham/
kgpt2

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text-generation

generated_from_trainer

distilbert/distilgpt2

autotrain_compatible

text-generation-inference

endpoints_compatible

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kgpt2

This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.7114

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
2.2631	1.0	8	2.1033
2.1285	2.0	16	1.9838
2.0715	3.0	24	1.9079
2.0995	4.0	32	1.8528
2.0271	5.0	40	1.8074
1.9592	6.0	48	1.7816
1.9125	7.0	56	1.7446
1.9205	8.0	64	1.7277
1.8993	9.0	72	1.7178
1.8994	10.0	80	1.7114

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3