---
license: mit
base_model: dbmdz/bert-base-turkish-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: emotion-turkish19
  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. -->

# emotion-turkish19

This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4518
- Accuracy: 0.9333

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 71   | 0.2237          | 0.9333   |
| No log        | 2.0   | 142  | 0.2419          | 0.9333   |
| No log        | 3.0   | 213  | 0.3137          | 0.9238   |
| No log        | 4.0   | 284  | 0.3441          | 0.9143   |
| No log        | 5.0   | 355  | 0.3309          | 0.9524   |
| No log        | 6.0   | 426  | 0.3131          | 0.9524   |
| No log        | 7.0   | 497  | 0.3892          | 0.9333   |
| 0.1143        | 8.0   | 568  | 0.4482          | 0.9238   |
| 0.1143        | 9.0   | 639  | 0.4669          | 0.9238   |
| 0.1143        | 10.0  | 710  | 0.4518          | 0.9333   |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1