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---
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
|