---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-uncases-forprof2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-uncases-forprof2

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: 0.1248
- Accuracy: 0.978

## 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: 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: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2665        | 1.0   | 125  | 0.1724          | 0.956    |
| 0.0967        | 2.0   | 250  | 0.1248          | 0.978    |
| 0.0207        | 3.0   | 375  | 0.1533          | 0.97     |
| 0.008         | 4.0   | 500  | 0.1575          | 0.966    |
| 0.0086        | 5.0   | 625  | 0.1498          | 0.976    |
| 0.0084        | 6.0   | 750  | 0.1671          | 0.976    |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2