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platzi-distilroberta-base-mrpc-glue-sebastian-gaviria – AI Model by platzi | AlphaNeural AI
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platzi
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platzi-distilroberta-base-mrpc-glue-sebastian-gaviria
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
glue
distilbert/distilroberta-base
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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platzi-distilroberta-base-mrpc-glue-sebastian-gaviria
This model is a fine-tuned version of
distilroberta-base
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.4651
Accuracy: 0.8505
F1: 0.8920
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.3883
2.17
500
0.4651
0.8505
0.8920
Framework versions
Transformers 4.36.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0
