---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Bert-SBP
  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. -->

# Bert-SBP

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7436
- Accuracy: 0.7505

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1251        | 1.0   | 1139  | 1.3079          | 0.7370   |
| 0.172         | 2.0   | 2278  | 1.2414          | 0.7341   |
| 0.2179        | 3.0   | 3417  | 1.2107          | 0.7409   |
| 0.1429        | 4.0   | 4556  | 1.3118          | 0.7402   |
| 0.1037        | 5.0   | 5695  | 1.4270          | 0.7417   |
| 0.0699        | 6.0   | 6834  | 1.5152          | 0.7474   |
| 0.0513        | 7.0   | 7973  | 1.6423          | 0.7462   |
| 0.0371        | 8.0   | 9112  | 1.6923          | 0.7503   |
| 0.0222        | 9.0   | 10251 | 1.7365          | 0.7499   |
| 0.0188        | 10.0  | 11390 | 1.7436          | 0.7505   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3