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bert-finetuned-squad

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bert-finetuned-squad

This model is a fine-tuned version of bert-base-cased 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: 3e-05
train_batch_size: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.06
num_epochs: 1

Training results

Framework versions

Transformers 5.0.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2

Downloads last month: 2

Safetensors

Model size

0.1B params

Tensor type

F32

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Model tree for Salommee/bert-finetuned-squad

Base model

google-bert/bert-base-cased

Finetuned

(2895)

this model