---
tags:
- generated_from_trainer
model-index:
- name: span-marker-bert-base-multilingual-cased-multinerd
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# span-marker-bert-base-multilingual-cased-multinerd

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0049
- Overall Precision: 0.9242
- Overall Recall: 0.9281
- Overall F1: 0.9261
- Overall Accuracy: 0.9852

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|
| 0.0129        | 1.0   | 50436  | 0.0042          | 0.9226            | 0.9169         | 0.9197     | 0.9837           |
| 0.0027        | 2.0   | 100873 | 0.0043          | 0.9255            | 0.9206         | 0.9230     | 0.9846           |
| 0.0015        | 3.0   | 151308 | 0.0049          | 0.9242            | 0.9281         | 0.9261     | 0.9852           |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.3
- Tokenizers 0.13.3