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GPT-2-TRL – AI Model by Daniil-Archibasov | AlphaNeural AI
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Daniil-Archibasov
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GPT-2-TRL
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peft
safetensors
adapter
grpo
lora
transformers
trl
text-generation
lvwerra/gpt2-imdb
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This model is a fine-tuned version of
lvwerra/gpt2-imdb
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: 1.41e-05
train_batch_size: 64
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: 1200
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
