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roberta-base-finetuned-squad_v1.1 – AI Model by lauraparra28 | AlphaNeural AI | AlphaNeural AI
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lauraparra28
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roberta-base-finetuned-squad_v1.1
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transformers
pytorch
roberta
question-answering
generated_from_trainer
squad
FacebookAI/roberta-base
finetune
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 dataset. It achieves the following results on the evaluation set:
Loss: 1.1119
Exact match: 85.04257
F1 score: 91.82363
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
0.8806
1.0
5536
0.8635
0.7139
2.0
11072
0.8431
0.5514
3.0
16608
0.9000
0.4146
4.0
22144
1.0211
0.3367
5.0
27680
1.1119
Framework versions
Transformers 4.34.0
Pytorch 1.12.1
Datasets 2.14.5
Tokenizers 0.14.1
