---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: new-test-model2
  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. -->

# new-test-model2

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: 0.1040
- Precision: 0.9722
- Recall: 0.9757
- F1: 0.9739
- Accuracy: 0.9808

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 151  | 0.1819          | 0.9360    | 0.9405 | 0.9382 | 0.9540   |
| No log        | 2.0   | 302  | 0.1196          | 0.9637    | 0.9639 | 0.9638 | 0.9703   |
| No log        | 3.0   | 453  | 0.1322          | 0.9614    | 0.9682 | 0.9648 | 0.9711   |
| 0.2764        | 4.0   | 604  | 0.1071          | 0.9677    | 0.9725 | 0.9701 | 0.9763   |
| 0.2764        | 5.0   | 755  | 0.1084          | 0.9709    | 0.9766 | 0.9737 | 0.9790   |
| 0.2764        | 6.0   | 906  | 0.1015          | 0.9717    | 0.9739 | 0.9728 | 0.9791   |
| 0.0342        | 7.0   | 1057 | 0.1208          | 0.9686    | 0.9727 | 0.9706 | 0.9785   |
| 0.0342        | 8.0   | 1208 | 0.1068          | 0.9680    | 0.9752 | 0.9716 | 0.9798   |
| 0.0342        | 9.0   | 1359 | 0.1028          | 0.9719    | 0.9743 | 0.9731 | 0.9807   |
| 0.0129        | 10.0  | 1510 | 0.1040          | 0.9722    | 0.9757 | 0.9739 | 0.9808   |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1