---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: text_analyzer_base_bert
  results: []
---

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

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0472
- Accuracy: 0.9861

## 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: 1
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3672        | 1.0   | 1728 | 0.1788          | 0.9469   |
| 0.1509        | 2.0   | 3456 | 0.1311          | 0.9769   |
| 0.0071        | 3.0   | 5184 | 0.0494          | 0.9861   |
| 0.0076        | 4.0   | 6912 | 0.0472          | 0.9861   |


### Framework versions

- Transformers 4.29.1
- Pytorch 1.12.0+cu102
- Datasets 2.13.1
- Tokenizers 0.13.3