jon-t
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bert-emrqa_msquad-squad_v2

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bert-emrqa_msquad-squad_v2

This model is a fine-tuned version of distilbert/distilroberta-base on the Eladio/emrqa-msquad and the rajpurkar/squad_v2 datasets.

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: 12
eval_batch_size: 8
seed: 42
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
num_epochs: 2.0

Training results

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu118
Datasets 3.3.2
Tokenizers 0.21.0

Downloads last month: 4

Safetensors

Model size

81.5M params

Tensor type

F32

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Model tree for jon-t/bert-emrqa_msquad-squad_v2

Base model

distilbert/distilroberta-base

Finetuned

(787)

this model

Dataset used to train jon-t/bert-emrqa_msquad-squad_v2