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bert-base-uncased-glue-mrpc-camilovg – AI Model by camiloTel0410 | AlphaNeural AI
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camiloTel0410
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bert-base-uncased-glue-mrpc-camilovg
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
glue
google-bert/bert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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bert-base-uncased-glue-mrpc-camilovg
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: 0.3969
Accuracy: 0.8529
F1: 0.8929
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
0.5207
1.09
500
0.3969
0.8529
0.8929
0.2963
2.18
1000
0.5402
0.8725
0.9110
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
