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m_roberta_qa_model – AI Model by Chetna19 | AlphaNeural AI
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Chetna19
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m_roberta_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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m_roberta_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: 3.1134
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
32
2.6082
No log
2.0
64
2.6972
No log
3.0
96
2.9758
No log
4.0
128
3.0284
No log
5.0
160
3.1134
Framework versions
Transformers 4.27.3
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
