---
library_name: transformers
license: apache-2.0
base_model: bert-large-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-large-uncased-pp-100000-1e-06-32
  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-100000-1e-06-32

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: 0.6700

## 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: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6974        | 1.0   | 782  | 0.6845          |
| 0.6902        | 2.0   | 1564 | 0.6790          |
| 0.6879        | 3.0   | 2346 | 0.6764          |
| 0.6848        | 4.0   | 3128 | 0.6740          |
| 0.6819        | 5.0   | 3910 | 0.6723          |
| 0.6801        | 6.0   | 4692 | 0.6717          |
| 0.6758        | 7.0   | 5474 | 0.6700          |
| 0.6726        | 8.0   | 6256 | 0.6703          |
| 0.6692        | 9.0   | 7038 | 0.6712          |
| 0.6662        | 10.0  | 7820 | 0.6714          |


### Framework versions

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