---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Telugu-sentiment_analysis
  results: []
---

<!-- 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. -->

# Telugu-sentiment_analysis

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9966
- Accuracy: 0.5381

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.0084        | 1.0   | 1758  | 1.0049          | 0.5381   |
| 1.0044        | 2.0   | 3516  | 1.0062          | 0.5381   |
| 1.003         | 3.0   | 5274  | 1.0006          | 0.5381   |
| 1.0034        | 4.0   | 7032  | 0.9985          | 0.5381   |
| 1.0014        | 5.0   | 8790  | 0.9981          | 0.5381   |
| 1.0007        | 6.0   | 10548 | 0.9975          | 0.5381   |
| 1.0009        | 7.0   | 12306 | 0.9973          | 0.5381   |
| 1.0004        | 8.0   | 14064 | 0.9970          | 0.5381   |
| 0.9992        | 9.0   | 15822 | 0.9968          | 0.5381   |
| 0.9986        | 10.0  | 17580 | 0.9966          | 0.5381   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0