---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: BiBert-Classification
  results: []
---

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

This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0853
- Accuracy: 0.7433

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.0981        | 1.0   | 9718  | 1.1034          | 0.7328   |
| 1.0394        | 2.0   | 19436 | 1.0853          | 0.7433   |
| 0.9649        | 3.0   | 29154 | 1.1041          | 0.7362   |
| 0.8884        | 4.0   | 38872 | 1.1618          | 0.7315   |
| 0.8005        | 5.0   | 48590 | 1.2340          | 0.7251   |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1