---
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: 0.0777
- 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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 500

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1  | Roc Auc | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---:|:-------:|:--------:|
| 0.3837        | 40.0  | 920   | 0.3649          | 0.0 | 0.5     | 0.0      |
| 0.237         | 80.0  | 1840  | 0.2244          | 0.0 | 0.5     | 0.0      |
| 0.1609        | 120.0 | 2760  | 0.1560          | 0.0 | 0.5     | 0.0      |
| 0.1245        | 160.0 | 3680  | 0.1210          | 0.0 | 0.5     | 0.0      |
| 0.1029        | 200.0 | 4600  | 0.1022          | 0.0 | 0.5     | 0.0      |
| 0.0913        | 240.0 | 5520  | 0.0916          | 0.0 | 0.5     | 0.0      |
| 0.0847        | 280.0 | 6440  | 0.0854          | 0.0 | 0.5     | 0.0      |
| 0.0799        | 320.0 | 7360  | 0.0818          | 0.0 | 0.5     | 0.0      |
| 0.0779        | 360.0 | 8280  | 0.0798          | 0.0 | 0.5     | 0.0      |
| 0.0756        | 400.0 | 9200  | 0.0786          | 0.0 | 0.5     | 0.0      |
| 0.0746        | 440.0 | 10120 | 0.0780          | 0.0 | 0.5     | 0.0      |
| 0.0742        | 480.0 | 11040 | 0.0777          | 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