---
license: apache-2.0
base_model: google-bert/bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: ConcPurcBERT-Katch
  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. -->

# ConcPurcBERT-Katch

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: 0.6162
- Accuracy: 0.8402
- F1: 0.8402

## 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     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.3722        | 1.0   | 3073  | 0.4223          | 0.8222   | 0.8220 |
| 0.3481        | 2.0   | 6146  | 0.4450          | 0.8399   | 0.8397 |
| 0.3392        | 3.0   | 9219  | 0.6162          | 0.8402   | 0.8402 |
| 0.3006        | 4.0   | 12292 | 0.4926          | 0.8393   | 0.8393 |
| 0.2875        | 5.0   | 15365 | 0.6757          | 0.8361   | 0.8359 |
| 0.242         | 6.0   | 18438 | 0.6988          | 0.8377   | 0.8375 |
| 0.2082        | 7.0   | 21511 | 0.9105          | 0.8290   | 0.8284 |
| 0.1776        | 8.0   | 24584 | 0.9998          | 0.8317   | 0.8313 |
| 0.1362        | 9.0   | 27657 | 1.0866          | 0.8317   | 0.8315 |
| 0.0909        | 10.0  | 30730 | 1.1471          | 0.8340   | 0.8338 |


### Framework versions

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