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bert-base-uncased-finetuned-squad – AI Model by bdickson | AlphaNeural AI

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bdickson/
bert-base-uncased-finetuned-squad

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bert-base-uncased-finetuned-squad

This model is a fine-tuned version of bert-base-uncased on the squad dataset. It achieves the following results on the evaluation set:

eval_loss: 1.1240
eval_runtime: 262.7193
eval_samples_per_second: 41.048
eval_steps_per_second: 2.565
epoch: 3.0
step: 16599

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: 5

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1