---
license: apache-2.0
base_model: google-bert/bert-base-multilingual-uncased
tags:
- generated_from_trainer
model-index:
- name: training_output
  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. -->

# training_output

This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.1415

## 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: 0.0003
- train_batch_size: 55
- eval_batch_size: 55
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 7.1623        | 0.2237 | 100  | 7.1515          |
| 7.1515        | 0.4474 | 200  | 7.1525          |
| 7.1559        | 0.6711 | 300  | 7.1439          |
| 7.1529        | 0.8949 | 400  | 7.1464          |
| 7.1468        | 1.1186 | 500  | 7.1469          |
| 7.1405        | 1.3423 | 600  | 7.1417          |
| 7.1446        | 1.5660 | 700  | 7.1403          |
| 7.1459        | 1.7897 | 800  | 7.1419          |
| 7.1484        | 2.0134 | 900  | 7.1437          |
| 7.1426        | 2.2371 | 1000 | 7.1377          |
| 7.1426        | 2.4609 | 1100 | 7.1353          |
| 7.1441        | 2.6846 | 1200 | 7.1382          |
| 7.1393        | 2.9083 | 1300 | 7.1415          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Tokenizers 0.19.1