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platzi-distilroberta-base-mrpc-test – AI Model by platzi | AlphaNeural AI
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platzi
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platzi-distilroberta-base-mrpc-test
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
glue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
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platzi-distilroberta-base-mrpc-test
This model is a fine-tuned version of
distilroberta-base
on the datasetX dataset. It achieves the following results on the evaluation set:
Loss: 0.5825
Accuracy: 0.8235
F1: 0.8696
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
0.51
1.09
500
0.5825
0.8235
0.8696
0.342
2.18
1000
0.6815
0.8235
0.8686
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
