distilgpt2-finetuned-general-stories – AI Model by Vexemous | AlphaNeural AI

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Vexemous/
distilgpt2-finetuned-general-stories

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text-generation

generated_from_trainer

distilbert/distilgpt2

autotrain_compatible

text-generation-inference

endpoints_compatible

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distilgpt2-finetuned-general-stories

This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.0063

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
5.7415	1.0	2940	5.4942
5.1216	2.0	5880	4.9520
4.7464	3.0	8820	4.6264
4.5081	4.0	11760	4.4148
4.3457	5.0	14700	4.2677
4.2207	6.0	17640	4.1709
4.1182	7.0	20580	4.0961
4.0599	8.0	23520	4.0473
4.0235	9.0	26460	4.0176
3.9931	10.0	29400	4.0063

Framework versions

Transformers 4.40.0
Pytorch 1.13.1+cu117
Datasets 2.19.0
Tokenizers 0.19.1