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roberta-base-finetuned-squad_roberta_5 – AI Model by seviladiguzel | AlphaNeural AI
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roberta-base-finetuned-squad_roberta_5
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transformers
pytorch
tensorboard
roberta
question-answering
generated_from_trainer
squad
mit
endpoints_compatible
us
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roberta-base-finetuned-squad_roberta_5
This model is a fine-tuned version of
roberta-base
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 1.1045
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.9063
1.0
5536
0.8850
0.6938
2.0
11072
0.8703
0.5392
3.0
16608
0.9224
0.4317
4.0
22144
1.0132
0.351
5.0
27680
1.1045
Framework versions
Transformers 4.28.1
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
