---
license: apache-2.0
base_model: google-bert/bert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: exp-no0-hack3
  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. -->

# exp-no0-hack3

This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1971

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4397        | 1.0   | 443  | 0.4302          |
| 0.2741        | 2.0   | 886  | 0.2767          |
| 0.4316        | 3.0   | 1329 | 0.2856          |
| 0.3033        | 4.0   | 1772 | 0.2203          |
| 0.0856        | 5.0   | 2215 | 0.2243          |
| 0.0484        | 6.0   | 2658 | 0.2258          |
| 0.3601        | 7.0   | 3101 | 0.2291          |
| 0.2423        | 8.0   | 3544 | 0.1641          |
| 0.0145        | 9.0   | 3987 | 0.2100          |
| 0.0884        | 10.0  | 4430 | 0.1971          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1