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cuenb-mnli-negnli

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
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cuenb-mnli-negnli / README.md
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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: cuenb2-mnli-negnli
    results: []

cuenb2-mnli-negnli

This model is a fine-tuned version of cuenb on the GLUE MNLI dataset and the MNLI subset in NegNLI. It achieves the following results on the evaluation set:

  • Loss: 0.7677
  • Accuracy: 0.8533

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: 2e-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: 5.0

Training results

Framework versions

  • Transformers 4.21.0.dev0
  • Pytorch 1.8.0
  • Datasets 1.18.3
  • Tokenizers 0.12.1