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gpt2-german-english-ewc-lamda2 – AI Model by zhuojing-huang | AlphaNeural AI
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gpt2-german-english-ewc-lamda2
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transformers
safetensors
gpt2
text-generation
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt2-german-english-ewc-lamda2
This model was trained from scratch 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: 0.0005
train_batch_size: 64
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 30
training_steps: 61035
Training results
Framework versions
Transformers 4.53.1
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.2
