---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: 12Layer-30epoch-BERT-multilingual-finetuned-CEFR_ner-60000news
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 12Layer-30epoch-BERT-multilingual-finetuned-CEFR_ner-60000news

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0875
- eval_accuracy: 0.3060
- eval_precision: 0.5028
- eval_recall: 0.8474
- eval_f1: 0.5092
- eval_runtime: 14.7807
- eval_samples_per_second: 338.278
- eval_steps_per_second: 10.622
- epoch: 11.0141
- step: 17215

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.41.2
- Pytorch 2.2.1
- Datasets 2.19.2
- Tokenizers 0.19.1