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semantic_finetune_random – AI Model by YukselArslantas | AlphaNeural AI
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semantic_finetune_random
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
text-generation-inference
endpoints_compatible
us
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semantic_finetune_random
This model is a fine-tuned version of
gpt2
on an unknown 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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
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
training_steps: 500
Training results
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cpu
Datasets 4.0.0
Tokenizers 0.22.1
