safetensors generated_from_trainer base_model:bert-base-uncased license:apache-2.0 region:us
---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-large-peft
  results: []
---

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# bert-base-uncased-large-peft

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: 0.0004

## 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: 0.005
- train_batch_size: 96
- eval_batch_size: 96
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.713         | 1.0   | 189  | 0.3051          |
| 0.151         | 2.0   | 378  | 0.0274          |
| 0.0404        | 3.0   | 567  | 0.0045          |
| 0.0079        | 4.0   | 756  | 0.0005          |
| 0.0052        | 5.0   | 945  | 0.0004          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
