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Task_A_reward – AI Model by snigdhaaa03 | AlphaNeural AI

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snigdhaaa03/
Task_A_reward

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generated_from_trainer

google-bert/bert-base-uncased

endpoints_compatible

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Task_A_reward

This model is a fine-tuned version of bert-base-uncased 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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.57.1
Pytorch 2.5.1+cu121
Datasets 4.4.1
Tokenizers 0.22.1