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bert-base-uncased-finetuned-dream – AI Model by Sukriti29 | AlphaNeural AI
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Sukriti29
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bert-base-uncased-finetuned-dream
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transformers
pytorch
tensorboard
bert
multiple-choice
generated_from_trainer
dream
apache-2.0
endpoints_compatible
us
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bert-base-uncased-finetuned-dream
This model is a fine-tuned version of
bert-base-uncased
on the dream dataset. It achieves the following results on the evaluation set:
Loss: 1.0986
Accuracy: 0.3431
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.0987
1.0
2446
1.0986
0.3431
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
