safetensors bert generated_from_trainer dataset:glue license:apache-2.0 model-index region:us
---
datasets:
- glue
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-finetuned-FFT-RTE
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: glue
      type: glue
      args: rte
    metrics:
    - type: accuracy
      value: 0.6823104693140795
      name: Accuracy
---

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# bert-base-uncased-finetuned-fft-rte

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
It achieves the following results on the evaluation set:
- Accuracy: 0.6823

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- weight_decay: 0.01
- num_epochs: 3