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bert-large-uncased-finetuned-squad-v2 – AI Model by ALOQAS | AlphaNeural AI

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ALOQAS/
bert-large-uncased-finetuned-squad-v2

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generated_from_trainer

google-bert/bert-large-uncased

endpoints_compatible

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bert-large-uncased-finetuned-squad-v2

This model is a fine-tuned version of bert-large-uncased 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: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 164.6925
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2