---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Bangla_multiclass_sentiment_analysis_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Bangla_multiclass_sentiment_analysis_model

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: 0.2648
- F1: 0.9309

## 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
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 0.26  | 200  | 0.5353          | 0.7972 |
| No log        | 0.51  | 400  | 0.3261          | 0.8800 |
| 0.5223        | 0.77  | 600  | 0.3222          | 0.8979 |
| 0.5223        | 1.03  | 800  | 0.2646          | 0.9170 |
| 0.2984        | 1.28  | 1000 | 0.2915          | 0.9028 |
| 0.2984        | 1.54  | 1200 | 0.2432          | 0.9234 |
| 0.2984        | 1.8   | 1400 | 0.2504          | 0.9209 |
| 0.2514        | 2.05  | 1600 | 0.2341          | 0.9246 |
| 0.2514        | 2.31  | 1800 | 0.2714          | 0.9237 |
| 0.1895        | 2.57  | 2000 | 0.2537          | 0.9269 |
| 0.1895        | 2.82  | 2200 | 0.2648          | 0.9309 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1