---
library_name: transformers
license: apache-2.0
base_model: bert-large-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-large-uncased-pp-20000-1e-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-large-uncased-pp-20000-1e-06-16

This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6833

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7048        | 1.0   | 313  | 0.6895          |
| 0.6989        | 2.0   | 626  | 0.6877          |
| 0.6962        | 3.0   | 939  | 0.6864          |
| 0.6893        | 4.0   | 1252 | 0.6846          |
| 0.6878        | 5.0   | 1565 | 0.6838          |
| 0.684         | 6.0   | 1878 | 0.6834          |
| 0.6788        | 7.0   | 2191 | 0.6833          |
| 0.6755        | 8.0   | 2504 | 0.6836          |
| 0.6738        | 9.0   | 2817 | 0.6836          |
| 0.6676        | 10.0  | 3130 | 0.6833          |
| 0.6652        | 11.0  | 3443 | 0.6839          |
| 0.6636        | 12.0  | 3756 | 0.6842          |
| 0.6555        | 13.0  | 4069 | 0.6861          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1