pytorch tensorboard bert fill-mask transformers generated_from_trainer autotrain_compatible
---
tags:
- generated_from_trainer
datasets:
- null
model_index:
- name: bert-base-cased-wikitext2
  results:
  - task:
      name: Masked Language Modeling
      type: fill-mask
---

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# bert-base-cased-wikitext2

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 6.8565

## 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: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 7.0916        | 1.0   | 2346 | 7.0492          |
| 6.9074        | 2.0   | 4692 | 6.8727          |
| 6.8588        | 3.0   | 7038 | 6.8914          |


### Framework versions

- Transformers 4.9.1
- Pytorch 1.9.0+cu102
- Datasets 1.11.0
- Tokenizers 0.10.3
