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platzi-distilroberta-base-mrpc-glue-hector-nieto – AI Model by Hector00 | AlphaNeural AI
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platzi-distilroberta-base-mrpc-glue-hector-nieto
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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platzi-distilroberta-base-mrpc-glue-hector-nieto
This model is a fine-tuned version of
distilroberta-base
on the glue and the mrpc datasets. It achieves the following results on the evaluation set:
Loss: 0.4723
Accuracy: 0.8407
F1: 0.8889
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 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
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.5407
1.0893
500
0.4723
0.8407
0.8889
0.3421
2.1786
1000
0.6403
0.8480
0.8912
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu124
Tokenizers 0.21.0
