pytorch bert fill-mask dataset:wikitext transformers generated_from_trainer model-index autotrain_compatible
---
tags:
- generated_from_trainer
datasets:
- wikitext
model-index:
- name: TinyBERT_General_6L_768D-finetuned-wikitext103
  results: []
---

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# TinyBERT_General_6L_768D-finetuned-wikitext103

This model is a fine-tuned version of [huawei-noah/TinyBERT_General_6L_768D](https://huggingface.co/huawei-noah/TinyBERT_General_6L_768D) on the wikitext dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3768

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.1792        | 1.0   | 3125 | 3.5465          |
| 3.6726        | 2.0   | 6250 | 3.4226          |
| 3.6065        | 3.0   | 9375 | 3.3768          |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.8.1
- Datasets 1.11.0
- Tokenizers 0.10.3
