---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: results_new
  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. -->

# results_new

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: 0.2322

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 234  | 0.2011          |
| No log        | 2.0   | 468  | 0.2151          |
| 0.246         | 3.0   | 702  | 0.1992          |
| 0.246         | 4.0   | 936  | 0.1964          |
| 0.0694        | 5.0   | 1170 | 0.1924          |
| 0.0694        | 6.0   | 1404 | 0.2061          |
| 0.028         | 7.0   | 1638 | 0.2185          |
| 0.028         | 8.0   | 1872 | 0.2135          |
| 0.0155        | 9.0   | 2106 | 0.2338          |
| 0.0155        | 10.0  | 2340 | 0.2322          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1