---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: bert-f1-durga-muhammad
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-f1-durga-muhammad

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0313
- Accuracy: 0.995
- Precision: 0.995
- Recall: 0.995
- F1: 0.995

## 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: 2e-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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1    |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:-----:|
| 0.3962        | 1.2   | 60   | 0.0549          | 0.995    | 0.995     | 0.995  | 0.995 |
| 0.0345        | 2.4   | 120  | 0.0314          | 0.995    | 0.995     | 0.995  | 0.995 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1