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roberta-base-finetuned-squad – AI Model by huxxx657 | AlphaNeural AI
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huxxx657
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roberta-base-finetuned-squad
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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-squad
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: 0.8152
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.8557
1.0
8239
0.8152
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1
