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platzi-distilroberta-base-mrpc-glue-ricardo-talavera – AI Model by ricardotalavera | AlphaNeural AI
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ricardotalavera
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platzi-distilroberta-base-mrpc-glue-ricardo-talavera
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
glue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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platzi-distilroberta-base-mrpc-glue-ricardo-talavera
This model is a fine-tuned version of
distilroberta-base
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.6639
Accuracy: 0.8627
F1: 0.9
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
0.19
1.09
500
0.6639
0.8627
0.9
0.1962
2.18
1000
0.6639
0.8627
0.9
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
