transformers pytorch bert fill-mask generated_from_trainer base_model:bert-base-multilingual-cased license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 20231005-1-bert-base-multilingual-cased-new
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 20231005-1-bert-base-multilingual-cased-new

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Accuracy: 0.6240
- Loss: 1.6828

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 2.9403        | 1.82  | 200  | 0.4411   | 2.4884          |
| 2.4143        | 3.64  | 400  | 0.4908   | 2.1693          |
| 2.1466        | 5.45  | 600  | 0.5377   | 1.9990          |
| 2.0429        | 7.27  | 800  | 0.5424   | 2.1102          |
| 1.9514        | 9.09  | 1000 | 0.5680   | 1.8748          |
| 1.8498        | 10.91 | 1200 | 0.5826   | 1.8680          |
| 1.8097        | 12.73 | 1400 | 0.5960   | 1.8489          |
| 1.737         | 14.55 | 1600 | 0.6364   | 1.6621          |
| 1.7203        | 16.36 | 1800 | 0.6298   | 1.6846          |
| 1.6172        | 18.18 | 2000 | 0.6527   | 1.5969          |
| 1.6564        | 20.0  | 2200 | 0.6240   | 1.6828          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
