---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_complete_processed_bert_dataset
model-index:
- name: BERT-fully-trained-accuracy
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# BERT-fully-trained-accuracy

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.3870
- eval_accuracy: 0.5781
- eval_runtime: 2139.188
- eval_samples_per_second: 144.146
- eval_steps_per_second: 4.505
- step: 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 5

### Framework versions

- Transformers 4.35.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.6
- Tokenizers 0.14.1