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spanbert-large-cased-finetuned-squad – AI Model by MrRobb | AlphaNeural AI
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MrRobb
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spanbert-large-cased-finetuned-squad
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transformers
pytorch
bert
question-answering
generated_from_trainer
squad_v2
endpoints_compatible
us
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spanbert-large-cased-finetuned-squad
This model is a fine-tuned version of
SpanBERT/spanbert-large-cased
on the squad_v2 dataset. It achieves the following results on the evaluation set:
Loss: 1.6976
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: 1
eval_batch_size: 1
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
1.6057
1.0
132932
1.5069
1.1252
2.0
265864
1.4578
0.7214
3.0
398796
1.6976
Framework versions
Transformers 4.25.1
Pytorch 1.13.1
Datasets 2.8.0
Tokenizers 0.13.2
