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finetuned-roberta-base-squad2-model-for-insurance-data – AI Model by sprateek | AlphaNeural AI | AlphaNeural AI
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finetuned-roberta-base-squad2-model-for-insurance-data
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transformers
pytorch
tensorboard
roberta
question-answering
generated_from_trainer
cc-by-4.0
endpoints_compatible
us
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finetuned-roberta-base-squad2-model-for-insurance-data
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: 2.8120
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: 8
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
22
2.4963
No log
2.0
44
2.4585
No log
3.0
66
2.4411
No log
4.0
88
2.4786
No log
5.0
110
2.6450
No log
6.0
132
2.6954
No log
7.0
154
2.7662
No log
8.0
176
2.8120
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
