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bigbird-roberta-base-finetuned-enem – AI Model by Angelinis | AlphaNeural AI
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Angelinis
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bigbird-roberta-base-finetuned-enem
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transformers
tensorboard
safetensors
big_bird
multiple-choice
generated_from_trainer
google/bigbird-roberta-base
finetune
apache-2.0
endpoints_compatible
us
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bigbird-roberta-base-finetuned-enem
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: 1.6094
Accuracy: 0.2053
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: 5e-05
train_batch_size: 2
eval_batch_size: 2
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
Accuracy
1.6199
1.0
933
1.6094
0.2063
1.623
2.0
1866
1.6094
0.2079
1.6214
3.0
2799
1.6094
0.2053
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
