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# HBERTv1_48_L2_H128_A2

This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 6.0202
- Accuracy: 0.1500

## 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: 162
- eval_batch_size: 162
- 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: 100

### Training results



### Framework versions

- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "datasets": ["gokuls/wiki_book_corpus_complete_processed_bert_dataset"], "metrics": ["accuracy"], "model-index": [{"name": "HBERTv1_48_L2_H128_A2", "results": [{"task": {"type": "fill-mask", "name": "Masked Language Modeling"}, "dataset": {"name": "gokuls/wiki_book_corpus_complete_processed_bert_dataset", "type": "gokuls/wiki_book_corpus_complete_processed_bert_dataset"}, "metrics": [{"type": "accuracy", "value": 0.14999065459120106, "name": "Accuracy"}]}]}]}
transformers pytorch hybridbert fill-mask generated_from_trainer dataset:gokuls/wiki_book_corpus_complete_processed_bert_dataset model-index autotrain_compatible endpoints_compatible region:us