---
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: multilingual_bert_AGRO
  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. -->

# multilingual_bert_AGRO

This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.9701
- Exact Match: 24.8571
- F1 Score: 56.8185

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 3407
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 50

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Exact Match | F1 Score |
|:-------------:|:------:|:----:|:---------------:|:-----------:|:--------:|
| 6.2135        | 0.0053 | 1    | 6.2224          | 0.0         | 9.8241   |
| 6.2165        | 0.0107 | 2    | 6.1874          | 0.0         | 9.8716   |
| 6.1776        | 0.0160 | 3    | 6.1182          | 0.0         | 10.1769  |
| 6.1126        | 0.0214 | 4    | 6.0144          | 0.0         | 11.2194  |
| 6.0166        | 0.0267 | 5    | 5.8717          | 0.0752      | 12.2552  |
| 5.8816        | 0.0321 | 6    | 5.6741          | 2.2556      | 18.5657  |
| 5.7374        | 0.0374 | 7    | 5.4450          | 12.1805     | 37.6517  |
| 5.5652        | 0.0428 | 8    | 5.1969          | 23.8346     | 53.3283  |
| 5.2962        | 0.0481 | 9    | 4.9758          | 26.5414     | 56.9819  |
| 5.0538        | 0.0535 | 10   | 4.8192          | 22.1805     | 56.7266  |
| 5.0246        | 0.0588 | 11   | 4.6919          | 18.2707     | 56.2903  |
| 4.8358        | 0.0641 | 12   | 4.5354          | 18.2707     | 56.7852  |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3