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distilbert-finetuned-squadv2 – AI Model by binhphap5 | AlphaNeural AI

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binhphap5/
distilbert-finetuned-squadv2

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distilbert/distilbert-base-uncased

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distilbert-finetuned-squadv2

This model is a fine-tuned version of distilbert-base-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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu118
Datasets 3.0.1
Tokenizers 0.19.1