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platzi-bert-base-mrpc-glue-omar-espejel – AI Model by platzi | AlphaNeural AI
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platzi
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platzi-bert-base-mrpc-glue-omar-espejel
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
glue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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platzi-bert-base-mrpc-glue-omar-espejel
This model is a fine-tuned version of
bert-base-uncased
on the glue and the mrpc datasets. It achieves the following results on the evaluation set:
Loss: 0.4366
Accuracy: 0.8578
F1: 0.8942
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
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
F1
0.5221
1.09
500
0.4366
0.8578
0.8942
0.3114
2.18
1000
0.6581
0.8725
0.9113
Framework versions
Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
