---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: newly_fine_tuned_bert
  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. -->

# newly_fine_tuned_bert

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: 0.0706
- F1: 0.0
- Roc Auc: 0.5
- Accuracy: 0.0

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| 0.2056        | 1.0   | 22   | 0.1966          | 0.0385 | 0.4756  | 0.0      |
| 0.175         | 2.0   | 44   | 0.1566          | 0.0488 | 0.5140  | 0.0      |
| 0.1397        | 3.0   | 66   | 0.1229          | 0.0    | 0.4988  | 0.0      |
| 0.1154        | 4.0   | 88   | 0.1032          | 0.0    | 0.5     | 0.0      |
| 0.093         | 5.0   | 110  | 0.0894          | 0.0    | 0.5     | 0.0      |
| 0.0827        | 6.0   | 132  | 0.0788          | 0.0    | 0.5     | 0.0      |
| 0.0737        | 7.0   | 154  | 0.0706          | 0.0    | 0.5     | 0.0      |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1