---
license: mit
tags:
- generated_from_trainer
datasets:
- sepidmnorozy/Turkish_sentiment
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-turkish-cased-sentiment
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# distilbert-base-turkish-cased-sentiment

This model is a fine-tuned version of [dbmdz/distilbert-base-turkish-cased](https://huggingface.co/dbmdz/distilbert-base-turkish-cased) on the [sepidmnorozy/Turkish_sentiment](https://huggingface.co/datasets/sepidmnorozy/Turkish_sentiment) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4141
- Accuracy: 0.855
- F1: 0.8797

## 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

### Training results



### Framework versions

- Transformers 4.22.2
- Pytorch 1.9.1
- Datasets 2.5.1
- Tokenizers 0.12.1