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roberta-base-finetuned-squad2 – AI Model by mvonwyl | AlphaNeural AI
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mvonwyl
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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: 0.9325
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.88
1.0
8160
0.8129
0.6643
2.0
16320
0.8567
0.5096
3.0
24480
0.9325
Framework versions
Transformers 4.12.2
Pytorch 1.9.0+cu111
Datasets 1.14.0
Tokenizers 0.10.3
