---
license: afl-3.0
datasets:
- WillHeld/hinglish_top
language:
- en
metrics:
- accuracy
library_name: transformers
pipeline_tag: fill-mask
---

### SRDberta

This is a BERT model trained for Masked Language Modeling for English Data.

### Dataset
Hinglish-Top [Dataset](https://huggingface.co./datasets/WillHeld/hinglish_top) columns
- en_query
- cs_query
- en_parse 
- cs_parse 
- domain 

### Training
|Epoch|Loss|
|:--:|:--:|
|1	|0.0485|
|2	|0.00837|
|3	|0.00812|
|4	|0.0029|
|5	|0.014|
|6	|0.00748|
|7	|0.0041|
|8	|0.00543|
|9	|0.00304|
|10	|0.000574|

### Inference 
```python
from transformers import AutoTokenizer, AutoModelForMaskedLM, pipeline

tokenizer = AutoTokenizer.from_pretrained("SRDdev/SRDBerta")

model = AutoModelForMaskedLM.from_pretrained("SRDdev/SRDBerta")

fill = pipeline('fill-mask', model='SRDberta', tokenizer='SRDberta')
```
```python
fill_mask = fill.tokenizer.mask_token
fill(f'Aap {fill_mask} ho?')
```

### Citation
Author: @[SRDdev](https://huggingface.co./SRDdev)
```
Name : Shreyas Dixit
framework : Pytorch
Year: Jan 2023
Pipeline : fill-mask
Github : https://github.com/SRDdev
LinkedIn : https://www.linkedin.com/in/srddev/ 
```