---
library_name: peft
license: apache-2.0
base_model: bert-base-uncased
tags:
- base_model:adapter:bert-base-uncased
- lora
- transformers
model-index:
- name: bert-from-single-text-file
  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-from-single-text-file

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.0           | 0.0393 | 200  | 0.0             |
| 0.0           | 0.0786 | 400  | 0.0             |
| 0.0           | 0.1179 | 600  | 0.0             |
| 0.0           | 0.1573 | 800  | 0.0             |
| 0.0           | 0.1966 | 1000 | 0.0             |
| 0.0           | 0.2359 | 1200 | 0.0             |
| 0.0           | 0.2752 | 1400 | 0.0             |
| 0.0           | 0.3145 | 1600 | 0.0             |
| 0.0           | 0.3538 | 1800 | 0.0             |
| 0.0           | 0.3932 | 2000 | 0.0             |
| 0.0           | 0.4325 | 2200 | 0.0             |
| 0.0           | 0.4718 | 2400 | 0.0             |
| 0.0           | 0.5111 | 2600 | 0.0             |
| 0.0           | 0.5504 | 2800 | 0.0             |
| 0.0           | 0.5897 | 3000 | 0.0             |
| 0.0           | 0.6291 | 3200 | 0.0             |
| 0.0           | 0.6684 | 3400 | 0.0             |
| 0.0           | 0.7077 | 3600 | 0.0             |
| 0.0           | 0.7470 | 3800 | 0.0             |
| 0.0           | 0.7863 | 4000 | 0.0             |
| 0.0           | 0.8256 | 4200 | 0.0             |
| 0.0           | 0.8649 | 4400 | 0.0             |
| 0.0           | 0.9043 | 4600 | 0.0             |
| 0.0           | 0.9436 | 4800 | 0.0             |
| 0.0           | 0.9829 | 5000 | 0.0             |


### Framework versions

- PEFT 0.17.0
- Transformers 4.55.1
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4