---
license: apache-2.0
base_model: google-bert/bert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: result
  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. -->

# result

This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0432
- Accuracy: 0.6450
- F1: 0.6411

## 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: 32
- eval_batch_size: 32
- 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.108         | 1.0   | 1357 | 1.0125          | 0.6467   | 0.6316 |
| 0.8851        | 2.0   | 2714 | 1.0116          | 0.6458   | 0.6403 |
| 0.7349        | 3.0   | 4071 | 1.0432          | 0.6450   | 0.6411 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.2.0a0+81ea7a4
- Datasets 2.20.0
- Tokenizers 0.19.1