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value_reward_modeling – AI Model by SiMajid | AlphaNeural AI

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SiMajid/
value_reward_modeling

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text-classification

generated_from_trainer

facebook/opt-350m

autotrain_compatible

text-generation-inference

endpoints_compatible

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reward_modeling_anthropic_hh

This model is a fine-tuned version of facebook/opt-350m 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: 1.41e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 25.0

Training results

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1