---
license: apache-2.0
tags:
- generated_from_trainer
base_model: bert-large-uncased
model-index:
- name: bert-large-uncased-finetuned-bert-large-uncase-p2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-large-uncased-finetuned-bert-large-uncase-p2

This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0980

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1081        | 1.0   | 5696  | 0.0977          |
| 0.1008        | 2.0   | 11392 | 0.0980          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2