---
base_model: gunkaynar/distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased
  results: []
---

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# distilbert-base-uncased

This model is a fine-tuned version of [gunkaynar/distilbert-base-uncased](https://huggingface.co/gunkaynar/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.4930
- eval_accuracy: 0.7391
- eval_f1: 0.7946
- eval_runtime: 63.7885
- eval_samples_per_second: 878.073
- eval_steps_per_second: 54.884
- 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 4.33.3
- Pytorch 2.1.1
- Datasets 2.14.7
- Tokenizers 0.11.0