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---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- f1
- recall
- accuracy
- precision
model-index:
- name: bert-base-fine-tuned-text-classificarion-ds
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. -->
# bert-base-fine-tuned-text-classificarion-ds
This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8256
- F1: 0.0045
- Recall: 0.0483
- Accuracy: 0.0483
- Precision: 0.0023
## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Accuracy | Precision |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|:---------:|
| 4.0201 | 1.0 | 588 | 3.8207 | 0.0000 | 0.0034 | 0.0034 | 0.0000 |
| 4.0249 | 2.0 | 1176 | 3.7674 | 0.0006 | 0.0175 | 0.0175 | 0.0003 |
| 4.0117 | 3.0 | 1764 | 3.8834 | 0.0002 | 0.0094 | 0.0094 | 0.0001 |
| 4.0209 | 4.0 | 2352 | 3.7563 | 0.0003 | 0.0131 | 0.0131 | 0.0002 |
| 4.0146 | 5.0 | 2940 | 3.8256 | 0.0045 | 0.0483 | 0.0483 | 0.0023 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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