deberta_squadnewsqa
This model is a fine-tuned version of
microsoft/deberta-v3-base
on the Squad_v2 and NewsQA datasets.
It achieves the following results on the evaluation set:
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
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train_batch_size: 8
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eval_batch_size: 8
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seed: 42
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optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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lr_scheduler_type: linear
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num_epochs: 1
Training results
Training Loss
|
Epoch
|
Step
|
Validation Loss
|
1.0355
|
1.0
|
14875
|
0.9648
|
Framework versions
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Transformers 4.28.0
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Pytorch 2.0.0
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Datasets 2.12.0
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Tokenizers 0.13.3