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roberta-base-squad-1 – AI Model by QuangHuy54 | AlphaNeural AI
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QuangHuy54
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roberta-base-squad-1
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transformers
pytorch
tensorboard
roberta
question-answering
generated_from_trainer
squad
mit
endpoints_compatible
us
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roberta-base-squad-1
This model is a fine-tuned version of
roberta-base
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 0.7945
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
lr_scheduler_warmup_ratio: 0.2
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.9436
1.0
4909
0.8305
0.6996
2.0
9818
0.7945
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
