---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-nsp-5000-1e-06-8
  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-5000-1e-06-8

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: 0.4119

## 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: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 157  | 0.6923          |
| 0.6979        | 2.0   | 314  | 0.6900          |
| 0.6928        | 3.0   | 471  | 0.6867          |
| 0.6891        | 4.0   | 628  | 0.6805          |
| 0.6891        | 5.0   | 785  | 0.6697          |
| 0.6805        | 6.0   | 942  | 0.6527          |
| 0.6637        | 7.0   | 1099 | 0.6301          |
| 0.6388        | 8.0   | 1256 | 0.6087          |
| 0.6103        | 9.0   | 1413 | 0.5909          |
| 0.6103        | 10.0  | 1570 | 0.5760          |
| 0.5846        | 11.0  | 1727 | 0.5624          |
| 0.5665        | 12.0  | 1884 | 0.5438          |
| 0.5322        | 13.0  | 2041 | 0.5249          |
| 0.5322        | 14.0  | 2198 | 0.5029          |
| 0.5096        | 15.0  | 2355 | 0.4886          |
| 0.4759        | 16.0  | 2512 | 0.4672          |
| 0.4457        | 17.0  | 2669 | 0.4581          |
| 0.4306        | 18.0  | 2826 | 0.4493          |
| 0.4306        | 19.0  | 2983 | 0.4413          |
| 0.4073        | 20.0  | 3140 | 0.4331          |
| 0.3974        | 21.0  | 3297 | 0.4267          |
| 0.3789        | 22.0  | 3454 | 0.4252          |
| 0.3615        | 23.0  | 3611 | 0.4200          |
| 0.3615        | 24.0  | 3768 | 0.4183          |
| 0.356         | 25.0  | 3925 | 0.4164          |
| 0.3588        | 26.0  | 4082 | 0.4152          |
| 0.3465        | 27.0  | 4239 | 0.4146          |
| 0.3465        | 28.0  | 4396 | 0.4133          |
| 0.3431        | 29.0  | 4553 | 0.4123          |
| 0.3451        | 30.0  | 4710 | 0.4119          |


### Framework versions

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