|
--- |
|
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 |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# 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 |
|
|
