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roberta-base-finetuned-squad_roberta_v3 – AI Model by seviladiguzel | AlphaNeural AI
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roberta-base-finetuned-squad_roberta_v3
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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_v3
This model is a fine-tuned version of
roberta-base
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 0.9569
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
0.9056
1.0
5536
0.8934
0.692
2.0
11072
0.8533
0.5414
3.0
16608
0.8939
0.4413
4.0
22144
0.9569
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
