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german-gpt2-larger-finetuned-press-release – AI Model by Rigard | AlphaNeural AI
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Rigard
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german-gpt2-larger-finetuned-press-release
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
stefan-it/german-gpt2-larger
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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german-gpt2-larger-finetuned-press-release
This model is a fine-tuned version of
stefan-it/german-gpt2-larger
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.7289
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.9885
1.0
501
1.8571
1.6605
2.0
1002
1.7721
1.5244
3.0
1503
1.7392
1.4372
4.0
2004
1.7275
1.39
5.0
2505
1.7289
Framework versions
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
