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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-uncased-sst2

This model is a fine-tuned version of [textattack/bert-base-uncased-SST-2](https://huggingface.co/textattack/bert-base-uncased-SST-2) on the GLUE SST2 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2819
- eval_accuracy: 0.9243
- eval_runtime: 37.0195
- eval_samples_per_second: 23.555
- eval_steps_per_second: 2.944
- 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