rizzgpt-small – AI Model by myownfd | AlphaNeural AI

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myownfd/
rizzgpt-small

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text-generation

generated_from_trainer

distilbert/distilgpt2

autotrain_compatible

text-generation-inference

endpoints_compatible

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rizzgpt-small

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

Loss: 0.4312

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: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.5889	0.2410	20	1.2717
0.8215	0.4819	40	0.7057
1.0067	0.7229	60	0.5727
0.6394	0.9639	80	0.4916
0.7029	1.2048	100	0.4680
0.3354	1.4458	120	0.4340
0.5738	1.6867	140	0.4305
0.5458	1.9277	160	0.4312

Framework versions

Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1