Yannis98
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squad_v2_albert_finetuned

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Albert-Base-SQuADv2

This model is a fine-tuned version of Yannis98/Albert-Base-SQuADv2 on the rajpurkar/squad_v2 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: 32
eval_batch_size: 512
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2.0

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 2.21.0
Tokenizers 0.21.0

Downloads last month: 7

Safetensors

Model size

11.1M params

Tensor type

F32

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Dataset used to train Yannis98/squad_v2_albert_finetuned