---
license: apache-2.0
base_model: google-bert/bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: ConcPurcBERT-Katch-0329-v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ConcPurcBERT-Katch-0329-v2

This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4808
- Accuracy: 0.7855
- F1: 0.7854

## 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: 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 | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.4707        | 1.0   | 2522  | 0.5220          | 0.7553   | 0.7517 |
| 0.4152        | 2.0   | 5044  | 0.4808          | 0.7855   | 0.7854 |
| 0.385         | 3.0   | 7566  | 0.5768          | 0.7846   | 0.7834 |
| 0.3495        | 4.0   | 10088 | 0.7314          | 0.7945   | 0.7945 |
| 0.3282        | 5.0   | 12610 | 0.8054          | 0.7893   | 0.7890 |
| 0.3214        | 6.0   | 15132 | 0.9016          | 0.7898   | 0.7895 |
| 0.3038        | 7.0   | 17654 | 1.0931          | 0.7890   | 0.7890 |
| 0.235         | 8.0   | 20176 | 1.1521          | 0.7749   | 0.7741 |
| 0.1705        | 9.0   | 22698 | 1.3791          | 0.7758   | 0.7756 |
| 0.1252        | 10.0  | 25220 | 1.4324          | 0.7742   | 0.7739 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.14.1