---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Bangla-Twoclass-Sentiment-Analyzer
  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. -->

# Bangla-Twoclass-Sentiment-Analyzer

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1624
- F1: 0.9642

## 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: 3e-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
- training_steps: 1800

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 0.34  | 200  | 0.3384          | 0.8842 |
| No log        | 0.68  | 400  | 0.2352          | 0.9358 |
| 0.3357        | 1.02  | 600  | 0.1838          | 0.9458 |
| 0.3357        | 1.36  | 800  | 0.1768          | 0.9520 |
| 0.1794        | 1.69  | 1000 | 0.1650          | 0.9541 |
| 0.1794        | 2.03  | 1200 | 0.1629          | 0.9609 |
| 0.1794        | 2.37  | 1400 | 0.2278          | 0.9566 |
| 0.1305        | 2.71  | 1600 | 0.1633          | 0.9634 |
| 0.1305        | 3.05  | 1800 | 0.1624          | 0.9642 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3