---
license: apache-2.0
base_model: distilbert/distilbert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: NEW_trained_serbian
  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. -->

# NEW_trained_serbian

This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0749
- Precision: 0.8652
- Recall: 0.9028
- F1: 0.8836
- Accuracy: 0.9820

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 208  | 0.0799          | 0.8002    | 0.8599 | 0.8290 | 0.9742   |
| No log        | 2.0   | 416  | 0.0733          | 0.8322    | 0.8979 | 0.8638 | 0.9802   |
| 0.0902        | 3.0   | 624  | 0.0709          | 0.8736    | 0.9003 | 0.8867 | 0.9829   |
| 0.0902        | 4.0   | 832  | 0.0749          | 0.8652    | 0.9028 | 0.8836 | 0.9820   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2