---
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: scb-finetune-bert
  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. -->

# scb-finetune-bert

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: 1.3597
- Accuracy: 0.3558
- Precision: 0.2910
- Recall: 0.3558
- F1: 0.3201

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log        | 1.0   | 15   | 1.0511          | 0.375    | 0.1406    | 0.375  | 0.2045 |
| No log        | 2.0   | 30   | 1.0649          | 0.375    | 0.1406    | 0.375  | 0.2045 |
| No log        | 3.0   | 45   | 1.0597          | 0.3558   | 0.2953    | 0.3558 | 0.2957 |
| No log        | 4.0   | 60   | 1.0902          | 0.3269   | 0.2611    | 0.3269 | 0.2650 |
| No log        | 5.0   | 75   | 1.0790          | 0.4135   | 0.3320    | 0.4135 | 0.3657 |
| No log        | 6.0   | 90   | 1.1469          | 0.3846   | 0.3139    | 0.3846 | 0.3457 |
| No log        | 7.0   | 105  | 1.2955          | 0.3462   | 0.2866    | 0.3462 | 0.3015 |
| No log        | 8.0   | 120  | 1.3283          | 0.3269   | 0.2717    | 0.3269 | 0.2933 |
| No log        | 9.0   | 135  | 1.3397          | 0.375    | 0.3036    | 0.375  | 0.3351 |
| No log        | 10.0  | 150  | 1.3597          | 0.3558   | 0.2910    | 0.3558 | 0.3201 |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1