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gpt2-japanese-dutch-merge – AI Model by aariciah | AlphaNeural AI
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gpt2-japanese-dutch-merge
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transformers
safetensors
gpt2
text-generation
generated_from_trainer
zhuojing-huang/gpt2-japanese-20k
finetune
text-generation-inference
endpoints_compatible
us
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gpt2-japanese-dutch-merge
This model is a fine-tuned version of
zhuojing-huang/gpt2-japanese-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
