
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
---

widget:
- Example1: "maḷḷī ninnu cūḍagalano"
- Example2: "Nenu iroju movie veḷtunnanu"

# xlm-roberta-base-te-transliterate

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the universal_dependencies dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5086

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 66   | 0.5247          |
| 0.3495        | 2.0   | 132  | 0.5080          |
| 0.3495        | 3.0   | 198  | 0.5086          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
{"language": ["te"], "license": "mit", "tags": ["generated_from_trainer"], "datasets": ["universal_dependencies"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-te-transliterate", "results": []}]}
transformers tensorboard safetensors xlm-roberta token-classification generated_from_trainer te dataset:universal_dependencies base_model:xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us