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full_llm_output – AI Model by Proprogrammer | AlphaNeural AI
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full_llm_output
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transformers
safetensors
gpt2
text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
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full_llm_output
This model is a fine-tuned version of
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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
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
training_steps: 100
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.56.0
Pytorch 2.8.0+cu129
Datasets 4.4.1
Tokenizers 0.22.0
