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bigbird-QA-squad_v2.4 – AI Model by FredNajjar | AlphaNeural AI
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FredNajjar
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bigbird-QA-squad_v2.4
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transformers
pytorch
big_bird
question-answering
generated_from_trainer
squad_v2
google/bigbird-roberta-base
finetune
apache-2.0
endpoints_compatible
us
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bigbird-QA-squad_v2.4
This model is a fine-tuned version of
google/bigbird-roberta-base
on the squad_v2 dataset. It achieves the following results on the evaluation set:
Loss: 0.8951
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: 3e-05
train_batch_size: 8
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 244
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.3245
1.0
407
1.1746
1.0089
2.0
814
0.9133
0.8408
3.0
1221
0.8951
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
