---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_base_uncased_ensemble_1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert_base_uncased_ensemble_1

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8970
- Accuracy: 0.55

## 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: 3e-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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 310  | 1.1045          | 0.532    |
| 0.9909        | 2.0   | 620  | 1.1314          | 0.574    |
| 0.9909        | 3.0   | 930  | 1.4262          | 0.554    |
| 0.4645        | 4.0   | 1240 | 1.6905          | 0.552    |
| 0.1803        | 5.0   | 1550 | 1.8970          | 0.55     |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2