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BigBird_Classification – AI Model by Shruthikaa | AlphaNeural AI
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BigBird_Classification
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transformers
pytorch
big_bird
text-classification
generated_from_trainer
google/bigbird-roberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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BigBird_Classification
This model is a fine-tuned version of
google/bigbird-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4176
Accuracy: 0.813
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6106
1.0
625
0.4582
0.785
0.4833
2.0
1250
0.4176
0.813
Framework versions
Transformers 4.32.1
Pytorch 2.2.1+cpu
Datasets 2.12.0
Tokenizers 0.13.2
