---
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-base-uncased
  results: []
---

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

This model was trained from scratch on the imdb dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6436
- eval_accuracy: 0.8767
- eval_f1: 0.8795
- eval_super_glue: {'accuracy': 0.8766666666666667}
- eval_runtime: 7.498
- eval_samples_per_second: 40.01
- eval_steps_per_second: 2.534
- 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0