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platzi-distilbert-base-uncased-mrpc-glue-juan-garcia-bauza – AI Model by platzi | AlphaNeural AI
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platzi
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platzi-distilbert-base-uncased-mrpc-glue-juan-garcia-bauza
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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platzi-distilbert-base-uncased-mrpc-glue-juan-garcia-bauza
This model is a fine-tuned version of
distilroberta-base
on the datasetX dataset. It achieves the following results on the evaluation set:
Loss: 0.7622
Accuracy: 0.8505
F1: 0.8935
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Framework versions
Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
