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

# kubert-from_multilingual

This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7621

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.4785 | 200  | 2.5883          |
| No log        | 0.9569 | 400  | 2.3145          |
| No log        | 1.4354 | 600  | 2.1484          |
| No log        | 1.9139 | 800  | 2.0133          |
| No log        | 2.3923 | 1000 | 1.9202          |
| No log        | 2.8708 | 1200 | 1.8627          |
| No log        | 3.3493 | 1400 | 1.8354          |
| No log        | 3.8278 | 1600 | 1.7811          |
| No log        | 4.3062 | 1800 | 1.7584          |
| No log        | 4.7847 | 2000 | 1.7621          |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2