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bigbird_mental2019_1 – AI Model by augmdc | AlphaNeural AI
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augmdc
/
bigbird_mental2019_1
like
0
transformers
pytorch
big_bird
multiple-choice
generated_from_trainer
augmdc/bigbird_race_1
finetune
apache-2.0
endpoints_compatible
us
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bigbird_mental2019_1
This model is a fine-tuned version of
augmdc/bigbird_race_1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1074
Accuracy: 0.4983
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
1.3804
1.0
929
1.2248
0.4474
1.1988
2.0
1858
1.1074
0.4983
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
