---
library_name: transformers
license: apache-2.0
base_model: bert-base-multilingual-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- f1
model-index:
- name: tool-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. -->

# tool-bert

This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0027
- Accuracy: 1.0
- Precision: 1.0
- F1: 1.0

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|
| 1.2148        | 1.0   | 50   | 1.0773          | 0.7327   | 0.8210    | 0.7354 |
| 0.2475        | 2.0   | 100  | 0.1127          | 0.9802   | 0.9807    | 0.9802 |
| 0.1395        | 3.0   | 150  | 0.0373          | 0.9901   | 0.9906    | 0.9901 |
| 0.009         | 4.0   | 200  | 0.0066          | 1.0      | 1.0       | 1.0    |
| 0.0057        | 5.0   | 250  | 0.0051          | 1.0      | 1.0       | 1.0    |
| 0.0044        | 6.0   | 300  | 0.0037          | 1.0      | 1.0       | 1.0    |
| 0.0038        | 7.0   | 350  | 0.0032          | 1.0      | 1.0       | 1.0    |
| 0.0035        | 8.0   | 400  | 0.0029          | 1.0      | 1.0       | 1.0    |
| 0.0032        | 9.0   | 450  | 0.0027          | 1.0      | 1.0       | 1.0    |
| 0.0032        | 10.0  | 500  | 0.0027          | 1.0      | 1.0       | 1.0    |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0