---
library_name: transformers
license: apache-2.0
datasets:
- carant-ai/indonesian_sentiment_dataset
- carant-ai/english_sentiment_dataset
language:
- en
- id
metrics:
- accuracy
pipeline_tag: text-classification
---
### Model Description
Finetuned xlm-roberta-large for Sentiment Analysis in English and Bahasa Indonesia
### Training results
Trained on TPU VM v4-8 for ~5 hours
|epoch|step|train_accuracy|train_loss|val_accuracy|val_loss|
| --- | --- | --- | --- | --- | --- |
|0|10782|0.964588165|0.095930442|0.967545867|0.08873909|
|1|21565|0.970602274|0.079982288|0.968977571|0.08539474|
### Training procedure
For replication, go to [GitHub page](https://github.com/carant-ai/tpu-sentiment-trainer/tree/main)
### Acknowledgement 
1. Google’s TPU Research Cloud (TRC) for providing Cloud TPU VM.
2. [carlesoctav](https://huggingface.co/carlesoctav) for making the training script on TPU VM
3. [thonyyy](https://huggingface.co/thonyyy) for gathering the sentiment dataset