---
license: apache-2.0
tags:
- text-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: insights
  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. -->

# insights

This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on the custom dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7686
- Accuracy: 0.8257

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 63   | 0.8631          | 0.7523   |
| No log        | 2.0   | 126  | 0.7686          | 0.8257   |
| No log        | 3.0   | 189  | 1.2180          | 0.7431   |
| No log        | 4.0   | 252  | 1.1273          | 0.7982   |
| No log        | 5.0   | 315  | 1.2937          | 0.7706   |
| No log        | 6.0   | 378  | 1.3242          | 0.7890   |
| No log        | 7.0   | 441  | 1.3387          | 0.7982   |
| 0.0916        | 8.0   | 504  | 1.2943          | 0.7706   |
| 0.0916        | 9.0   | 567  | 1.3299          | 0.7982   |
| 0.0916        | 10.0  | 630  | 1.3237          | 0.7982   |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2