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gpt_reward_model_1000 – AI Model by Jieming | AlphaNeural AI
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gpt_reward_model_1000
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This model is a fine-tuned version of
EleutherAI/gpt-neo-2.7B
on an unknown dataset.
dataset size = 1000, test accuracy = 0.4998
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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 5
Framework versions
Transformers 4.27.0
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
