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roberta-base-squad2_qa_model – AI Model by Chetna19 | AlphaNeural AI
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Chetna19
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roberta-base-squad2_qa_model
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transformers
pytorch
roberta
question-answering
generated_from_trainer
subjqa
cc-by-4.0
endpoints_compatible
us
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roberta-base-squad2_qa_model
This model is a fine-tuned version of
deepset/roberta-base-squad2
on the subjqa dataset. It achieves the following results on the evaluation set:
Loss: 4.0738
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: 1e-07
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
4.0051
1.0
32
4.2277
3.8395
2.0
64
4.1393
3.8139
3.0
96
4.0892
3.7815
4.0
128
4.0738
Framework versions
Transformers 4.28.0
Pytorch 1.13.0a0+d321be6
Datasets 2.12.0
Tokenizers 0.13.3
