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roberta-base-squad2-finetuned-roberta – AI Model by srirammadduri-ts | AlphaNeural AI
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srirammadduri-ts
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roberta-base-squad2-finetuned-roberta
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transformers
pytorch
roberta
question-answering
generated_from_trainer
cc-by-4.0
endpoints_compatible
us
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roberta-base-squad2-finetuned-roberta
This model is a fine-tuned version of
deepset/roberta-base-squad2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0003
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
2
0.0008
No log
2.0
4
0.0004
No log
3.0
6
0.0003
Framework versions
Transformers 4.28.1
Pytorch 2.0.0
Datasets 2.13.1
Tokenizers 0.13.3
