transformers pytorch bert text-classification text classification generated_from_trainer base_model:google-bert/bert-base-uncased base_model:finetune:google-bert/bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
base_model: bert-base-uncased
license: apache-2.0
tags:
- text classification
- generated_from_trainer
model-index:
- name: bert-base-uncased-finetuned-Tiabet
  results: []
---

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# bert-base-uncased-finetuned-Tiabet

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3
