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distilroberta-base-mrpc-glue-oscar-salas – AI Model by salascorp | AlphaNeural AI
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salascorp
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distilroberta-base-mrpc-glue-oscar-salas
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transformers
pytorch
roberta
text-classification
generated_from_trainer
glue
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilroberta-base-mrpc-glue-oscar-salas
This model is a fine-tuned version of
distilroberta-base
on the datasetX dataset. It achieves the following results on the evaluation set:
eval_loss: 0.6456
eval_accuracy: 0.8260
eval_f1: 0.8795
eval_runtime: 30.3289
eval_samples_per_second: 13.453
eval_steps_per_second: 1.682
epoch: 1.09
step: 500
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
Framework versions
Transformers 4.23.1
Pytorch 1.12.1+cpu
Datasets 2.6.1
Tokenizers 0.13.1