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roberta-base-finetuned-squad2 – AI Model by PabloGuinea | AlphaNeural AI
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PabloGuinea
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roberta-base-finetuned-squad2
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transformers
pytorch
tensorboard
roberta
question-answering
generated_from_trainer
squad_v2
mit
endpoints_compatible
us
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roberta-base-finetuned-squad2
This model is a fine-tuned version of
roberta-base
on the squad_v2 dataset. It achieves the following results on the evaluation set:
Loss: 0.8756
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.87
1.0
8239
0.8090
0.6455
2.0
16478
0.8756
Framework versions
Transformers 4.28.0
Pytorch 1.13.1
Datasets 2.12.0
Tokenizers 0.13.3
