---
library_name: transformers
language: en
license: apache-2.0
datasets: []
tags: []
---

# Model Card for <Model>

A pretrained BERT using <Dataset>.

## Model Details

### Model Description

A MLM-only pretrained BERT-base using <Dataset>.

- **Developed by:** [Cesar Gonzalez-Gutierrez](https://ceguel.es)
- **Funded by:** [ERC](https://erc.europa.eu)
- **Model type:** MLM pretrained BERT
- **Language(s) (NLP):** English
- **License:** Apache license 2.0
- **Pretrained from model:** [BERT base model (uncased)](https://huggingface.co/google-bert/bert-base-uncased)

### Model Checkpoints

[More Information Needed]

### Model Sources

- **Paper:** [More Information Needed]

## Uses

See <https://huggingface.co/google-bert/bert-base-uncased#intended-uses--limitations>.

### Checkpoint Use

[More Information Needed]

## Bias, Risks, and Limitations

See <https://huggingface.co/google-bert/bert-base-uncased#limitations-and-bias>.

## Training Details

See <https://huggingface.co/google-bert/bert-base-uncased#training-procedure>.

### Training Data

[More Information Needed]

#### Preprocessing [optional]

[More Information Needed]

#### Training Hyperparameters

- **Training regime:** fp16
- **Batch size:** 32
- **Gradient accumulation steps:** 3

## Environmental Impact

- **Hardware Type:** NVIDIA Tesla V100 PCIE 32GB
- **Hours used:** [More Information Needed]
- **Cluster Provider:** [Artemisa](https://artemisa.ific.uv.es/web/)
- **Compute Region:** EU
- **Carbon Emitted:** [More Information Needed] <!-- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). -->

## Citation

**BibTeX:**

[More Information Needed]