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finetuned-roberta-large-gpt-exam-1 – AI Model by mojuss | AlphaNeural AI

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finetuned-roberta-large-gpt-exam-1

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sdadas/mmlw-retrieval-roberta-large

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finetuned-roberta-large-gpt-exam-1

This model is a fine-tuned version of sdadas/mmlw-retrieval-roberta-large on the generator 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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0