---
library_name: transformers
base_model: FacebookAI/xlm-roberta-large-finetuned-conll03-german
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: ner_model
  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. -->

# ner_model

This model is a fine-tuned version of [FacebookAI/xlm-roberta-large-finetuned-conll03-german](https://huggingface.co/FacebookAI/xlm-roberta-large-finetuned-conll03-german) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2261
- Precision: 0.1857
- Recall: 0.0872
- F1: 0.1187
- Accuracy: 0.9294

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 0     | 0    | 14.3585         | 0.0       | 0.0    | 0.0    | 0.0109   |
| No log        | 1.0   | 5    | 0.5506          | 0.0       | 0.0    | 0.0    | 0.9201   |
| No log        | 2.0   | 10   | 0.3615          | 0.0       | 0.0    | 0.0    | 0.9214   |
| No log        | 3.0   | 15   | 0.2907          | 0.0286    | 0.0045 | 0.0077 | 0.9249   |
| No log        | 4.0   | 20   | 0.2449          | 0.2164    | 0.0649 | 0.0998 | 0.9267   |
| No log        | 5.0   | 25   | 0.2261          | 0.1857    | 0.0872 | 0.1187 | 0.9294   |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.2