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

# trainer_output

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: 0.7560
- Accuracy: 90.8827
- Sentence accuracy: 43.3962

## 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: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Sentence accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------------:|
| No log        | 1.0   | 424  | 0.7115          | 83.5060  | 21.9340           |
| 1.328         | 2.0   | 848  | 0.5284          | 87.0493  | 29.2453           |
| 0.5876        | 3.0   | 1272 | 0.4704          | 88.1683  | 32.3113           |
| 0.3902        | 4.0   | 1696 | 0.4611          | 88.3133  | 33.4906           |
| 0.2749        | 5.0   | 2120 | 0.4642          | 89.3908  | 34.6698           |
| 0.2048        | 6.0   | 2544 | 0.4390          | 90.0539  | 37.5              |
| 0.2048        | 7.0   | 2968 | 0.4986          | 90.0746  | 37.9717           |
| 0.1499        | 8.0   | 3392 | 0.5226          | 89.9503  | 36.7925           |
| 0.1157        | 9.0   | 3816 | 0.5605          | 90.0332  | 38.4434           |
| 0.0851        | 10.0  | 4240 | 0.5399          | 90.3440  | 38.6792           |
| 0.0689        | 11.0  | 4664 | 0.6035          | 90.3440  | 42.2170           |
| 0.0499        | 12.0  | 5088 | 0.5832          | 90.5719  | 41.7453           |
| 0.0381        | 13.0  | 5512 | 0.6360          | 90.5097  | 42.2170           |
| 0.0381        | 14.0  | 5936 | 0.6389          | 90.9449  | 42.9245           |
| 0.0253        | 15.0  | 6360 | 0.6686          | 90.7998  | 42.6887           |
| 0.0198        | 16.0  | 6784 | 0.7092          | 90.5097  | 42.2170           |
| 0.0142        | 17.0  | 7208 | 0.6949          | 90.7791  | 42.6887           |
| 0.0105        | 18.0  | 7632 | 0.7071          | 90.9863  | 43.3962           |
| 0.0087        | 19.0  | 8056 | 0.7116          | 90.8413  | 43.6321           |
| 0.0087        | 20.0  | 8480 | 0.7549          | 90.7377  | 41.9811           |
| 0.005         | 21.0  | 8904 | 0.7310          | 90.7377  | 43.8679           |
| 0.0041        | 22.0  | 9328 | 0.7560          | 90.8827  | 43.3962           |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.11.0+cu130
- Datasets 4.0.0
- Tokenizers 0.22.2