---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 16_combo_bert_1409_v1_plus_othergreen
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 16_combo_bert_1409_v1_plus_othergreen

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: 0.6527
- Accuracy: 0.8328

## 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: 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 270  | 1.6861          | 0.4075   |
| 1.5192        | 2.0   | 540  | 1.1399          | 0.6591   |
| 1.5192        | 3.0   | 810  | 1.0636          | 0.6672   |
| 0.6636        | 4.0   | 1080 | 0.8126          | 0.7841   |
| 0.6636        | 5.0   | 1350 | 0.7421          | 0.8019   |
| 0.3933        | 6.0   | 1620 | 0.7070          | 0.8101   |
| 0.3933        | 7.0   | 1890 | 0.6786          | 0.8214   |
| 0.2737        | 8.0   | 2160 | 0.6527          | 0.8328   |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3