---
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
  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-0329

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: 0.9599
- Accuracy: 0.8506
- F1: 0.8506

## 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     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.3882        | 1.0   | 3372  | 0.3950          | 0.8390   | 0.8382 |
| 0.3456        | 2.0   | 6744  | 0.3864          | 0.8510   | 0.8509 |
| 0.3345        | 3.0   | 10116 | 0.4047          | 0.8565   | 0.8565 |
| 0.3167        | 4.0   | 13488 | 0.5327          | 0.8523   | 0.8523 |
| 0.2811        | 5.0   | 16860 | 0.6590          | 0.8534   | 0.8533 |
| 0.228         | 6.0   | 20232 | 0.6703          | 0.8539   | 0.8538 |
| 0.2089        | 7.0   | 23604 | 0.7614          | 0.8575   | 0.8575 |
| 0.1738        | 8.0   | 26976 | 0.8746          | 0.8471   | 0.8468 |
| 0.1285        | 9.0   | 30348 | 0.8981          | 0.8495   | 0.8494 |
| 0.0993        | 10.0  | 33720 | 0.9599          | 0.8506   | 0.8506 |


### Framework versions

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