Hemg/english-modeling

🤗 Hugging Face sourcetext-generationapache-2.082M params328 MBsafetensors✓ 9 checksumsupdated today

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english-modeling

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

Loss: 1.3165

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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.4312	1.0	5072	1.3571
1.3755	2.0	10144	1.3165

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2