---
license: apache-2.0
base_model: bert-large-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: output
  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. -->

# output

This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8310
- Accuracy: 0.7919
- Precision: 0.8030
- Recall: 0.7919
- F1: 0.7889

## 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: 5e-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: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log        | 1.0   | 495  | 1.0327          | 0.7253   | 0.7362    | 0.7253 | 0.7090 |
| 1.68          | 2.0   | 990  | 0.8310          | 0.7919   | 0.8030    | 0.7919 | 0.7889 |
| 0.8242        | 3.0   | 1485 | 0.8599          | 0.8091   | 0.8106    | 0.8091 | 0.8013 |
| 0.6748        | 4.0   | 1980 | 0.8628          | 0.8263   | 0.8125    | 0.8263 | 0.8158 |
| 0.4822        | 5.0   | 2475 | 1.0139          | 0.8162   | 0.8065    | 0.8162 | 0.8070 |
| 0.3781        | 6.0   | 2970 | 1.0535          | 0.8081   | 0.8013    | 0.8081 | 0.8011 |
| 0.3832        | 7.0   | 3465 | 1.1459          | 0.8081   | 0.8039    | 0.8081 | 0.8034 |
| 0.3101        | 8.0   | 3960 | 1.3831          | 0.7788   | 0.8079    | 0.7788 | 0.7847 |
| 0.2665        | 9.0   | 4455 | 1.2051          | 0.8222   | 0.8263    | 0.8222 | 0.8197 |
| 0.2286        | 10.0  | 4950 | 1.4487          | 0.7980   | 0.8064    | 0.7980 | 0.7962 |
| 0.2163        | 11.0  | 5445 | 1.4848          | 0.8121   | 0.8240    | 0.8121 | 0.8123 |
| 0.1965        | 12.0  | 5940 | 1.4572          | 0.7919   | 0.8051    | 0.7919 | 0.7919 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Tokenizers 0.15.0