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roberta-base-squad2-finetuned – AI Model by DeepaKrish | AlphaNeural AI
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DeepaKrish
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roberta-base-squad2-finetuned
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transformers
pytorch
tensorboard
roberta
question-answering
generated_from_trainer
cc-by-4.0
endpoints_compatible
us
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roberta-base-squad2-finetuned
This model is a fine-tuned version of
deepset/roberta-base-squad2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0010
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
27
0.0023
No log
2.0
54
0.0010
Framework versions
Transformers 4.27.0.dev0
Pytorch 1.9.0
Datasets 2.5.1
Tokenizers 0.13.2
