---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_base_cased_MultiClass_v2
  results: []
---

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# bert_base_cased_MultiClass_v2

This model is a fine-tuned version of [HMEXBI/bert_base_cased_MultiClass](https://huggingface.co/HMEXBI/bert_base_cased_MultiClass) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9806
- Accuracy: 0.8101

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1396        | 1.0   | 545  | 0.9023          | 0.7615   |
| 0.6961        | 2.0   | 1090 | 0.8074          | 0.7798   |
| 0.492         | 3.0   | 1635 | 0.8216          | 0.8009   |
| 0.3032        | 4.0   | 2180 | 0.9264          | 0.8018   |
| 0.1898        | 5.0   | 2725 | 0.9806          | 0.8101   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2