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bert-base-uncased-sst2

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metadata
language:
  - en
tags:
  - generated_from_trainer
datasets:
  - glue
model-index:
  - name: bert-base-uncased-sst2
    results: []

bert-base-uncased-sst2

This model is a fine-tuned version of textattack/bert-base-uncased-SST-2 on the GLUE SST2 dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.2140
  • eval_accuracy: 0.9243
  • eval_runtime: 56.1937
  • eval_samples_per_second: 15.518
  • eval_steps_per_second: 1.94
  • step: 0

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: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.13.1+cu116
  • Datasets 2.8.0
  • Tokenizers 0.13.2