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

# ConcSeqBERT-Katchers

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: 0.5189
- Accuracy: 0.7951
- F1: 0.7951

## 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     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.4666        | 1.0   | 2522  | 0.5650          | 0.7594   | 0.7551 |
| 0.4421        | 2.0   | 5044  | 0.5189          | 0.7951   | 0.7951 |
| 0.4033        | 3.0   | 7566  | 0.5224          | 0.7994   | 0.7994 |
| 0.3775        | 4.0   | 10088 | 0.6658          | 0.8002   | 0.7999 |
| 0.3549        | 5.0   | 12610 | 0.6499          | 0.8017   | 0.8015 |
| 0.3429        | 6.0   | 15132 | 0.7884          | 0.7939   | 0.7937 |
| 0.3077        | 7.0   | 17654 | 0.8724          | 0.7933   | 0.7933 |
| 0.2841        | 8.0   | 20176 | 0.9424          | 0.7914   | 0.7913 |
| 0.2393        | 9.0   | 22698 | 1.0403          | 0.7874   | 0.7873 |
| 0.2206        | 10.0  | 25220 | 1.1224          | 0.7835   | 0.7832 |


### Framework versions

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