---
license: apache-2.0
base_model: bert-base-multilingual-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ternary_support_eval_base_227_voices_transcriptions
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ternary_support_eval_base_227_voices_transcriptions

This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5979
- Accuracy: 0.9130
- F1 Score: 0.8919

## 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: 4e-05
- train_batch_size: 1
- eval_batch_size: 1
- 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 Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 1.2416        | 1.0   | 204  | 1.3783          | 0.6957   | 0.5708   |
| 1.2416        | 2.0   | 408  | 1.4377          | 0.6957   | 0.5708   |
| 1.4314        | 3.0   | 612  | 1.4118          | 0.6957   | 0.5708   |
| 1.4314        | 4.0   | 816  | 1.2822          | 0.6957   | 0.5708   |
| 1.3906        | 5.0   | 1020 | 1.3876          | 0.6957   | 0.5708   |
| 1.3906        | 6.0   | 1224 | 0.9901          | 0.7391   | 0.7152   |
| 1.3906        | 7.0   | 1428 | 0.7957          | 0.8261   | 0.8116   |
| 1.0941        | 8.0   | 1632 | 0.8328          | 0.8696   | 0.8498   |
| 1.0941        | 9.0   | 1836 | 0.5979          | 0.9130   | 0.8919   |
| 0.5454        | 10.0  | 2040 | 0.6083          | 0.9130   | 0.8919   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1