---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: dummy_bert_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# dummy_bert_model

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3072
- Accuracy: 0.9174

## 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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2261        | 0.48  | 1000 | 0.2372          | 0.9094   |
| 0.1842        | 0.95  | 2000 | 0.2512          | 0.9083   |
| 0.1099        | 1.43  | 3000 | 0.2975          | 0.8933   |
| 0.1094        | 1.9   | 4000 | 0.3159          | 0.9048   |
| 0.0641        | 2.38  | 5000 | 0.3681          | 0.9151   |
| 0.0576        | 2.85  | 6000 | 0.3072          | 0.9174   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0