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gpt2-german-dutch-merge – AI Model by aariciah | AlphaNeural AI

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aariciah/
gpt2-german-dutch-merge

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text-generation

generated_from_trainer

zhuojing-huang/gpt2-german-20k

text-generation-inference

endpoints_compatible

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gpt2-german-dutch-merge

This model is a fine-tuned version of zhuojing-huang/gpt2-german-20k on the None dataset.

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: 0.0004
train_batch_size: 64
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 256
total_eval_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
training_steps: 6103
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 3.6.0
Tokenizers 0.22.1