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roberta-base-bne-finetuned-sqac – AI Model by DevCar | AlphaNeural AI

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DevCar/
roberta-base-bne-finetuned-sqac

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BSC-LT/roberta-base-bne

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roberta-base-bne-finetuned-sqac

This model is a fine-tuned version of BSC-TeMU/roberta-base-bne 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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Framework versions

Transformers 4.42.4
Pytorch 1.12.1+cu113
Datasets 2.20.0
Tokenizers 0.19.1