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bert-base-uncased-finetuned-copa-data-new – AI Model by msintaha | AlphaNeural AI
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msintaha
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bert-base-uncased-finetuned-copa-data-new
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transformers
pytorch
tensorboard
bert
multiple-choice
generated_from_trainer
super_glue
apache-2.0
endpoints_compatible
us
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bert-base-uncased-finetuned-copa-data-new
This model is a fine-tuned version of
bert-base-uncased
on the super_glue dataset. It achieves the following results on the evaluation set:
Loss: 0.5995
Accuracy: 0.7000
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: 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
No log
1.0
25
0.6564
0.6600
No log
2.0
50
0.5995
0.7000
Framework versions
Transformers 4.16.2
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.11.0
