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NF-bigbird-squad – AI Model by FredNajjar | AlphaNeural AI
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FredNajjar
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NF-bigbird-squad
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transformers
pytorch
big_bird
question-answering
generated_from_trainer
squad
google/bigbird-roberta-base
finetune
apache-2.0
endpoints_compatible
us
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NF-bigbird-squad
This model is a fine-tuned version of
google/bigbird-roberta-base
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 1.0218
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: 1e-05
train_batch_size: 2
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 160
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
1.0526
1.0
1095
1.1762
0.8623
2.0
2190
1.0830
0.8911
3.0
3285
1.0327
0.9511
4.0
4380
1.0218
Framework versions
Transformers 4.33.1
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3
