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bert-base-uncased-squad – AI Model by nmb-paperspace-hf | AlphaNeural AI

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bert-base-uncased-squad

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bert-base-uncased-squad

This model is a fine-tuned version of bert-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: 9e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: IPU
gradient_accumulation_steps: 32
total_train_batch_size: 2048
total_eval_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.25
num_epochs: 3
training precision: Mixed Precision

Training results

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cpu
Datasets 2.11.0
Tokenizers 0.13.3