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bigbird_mental2019_1_7option_3 – AI Model by augmdc | AlphaNeural AI
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augmdc
/
bigbird_mental2019_1_7option_3
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transformers
pytorch
big_bird
multiple-choice
generated_from_trainer
augmdc/bigbird_mental2019_1
finetune
apache-2.0
endpoints_compatible
us
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bigbird_mental2019_1_7option_3
This model is a fine-tuned version of
augmdc/bigbird_mental2019_1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.7045
Accuracy: 0.3852
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
98
1.8069
0.3673
No log
2.0
196
1.7888
0.2883
No log
3.0
294
1.7633
0.3673
No log
4.0
392
1.7045
0.3852
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
