---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-nsp-50000-1e-06-16
  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-base-uncased-nsp-50000-1e-06-16

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2315

## 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: 1e-06
- train_batch_size: 64
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.6829        | 1.0   | 782   | 0.6331          |
| 0.589         | 2.0   | 1564  | 0.5425          |
| 0.4436        | 3.0   | 2346  | 0.3892          |
| 0.3601        | 4.0   | 3128  | 0.3341          |
| 0.3181        | 5.0   | 3910  | 0.3010          |
| 0.2893        | 6.0   | 4692  | 0.2816          |
| 0.2736        | 7.0   | 5474  | 0.2711          |
| 0.2505        | 8.0   | 6256  | 0.2626          |
| 0.2277        | 9.0   | 7038  | 0.2539          |
| 0.216         | 10.0  | 7820  | 0.2474          |
| 0.207         | 11.0  | 8602  | 0.2452          |
| 0.212         | 12.0  | 9384  | 0.2398          |
| 0.1956        | 13.0  | 10166 | 0.2384          |
| 0.1794        | 14.0  | 10948 | 0.2374          |
| 0.1894        | 15.0  | 11730 | 0.2358          |
| 0.1731        | 16.0  | 12512 | 0.2358          |
| 0.1717        | 17.0  | 13294 | 0.2315          |
| 0.1652        | 18.0  | 14076 | 0.2349          |
| 0.1647        | 19.0  | 14858 | 0.2353          |
| 0.1565        | 20.0  | 15640 | 0.2349          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1