---
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: gemini_chakma_roberta
  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. -->

# gemini_chakma_roberta

This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2323

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1922        | 1.0   | 205  | 3.3312          |
| 2.8762        | 2.0   | 410  | 3.1542          |
| 2.6543        | 3.0   | 615  | 3.0181          |
| 2.5254        | 4.0   | 820  | 2.8706          |
| 2.4038        | 5.0   | 1025 | 2.7951          |
| 2.325         | 6.0   | 1230 | 2.7440          |
| 2.2749        | 7.0   | 1435 | 2.6188          |
| 2.1967        | 8.0   | 1640 | 2.6125          |
| 2.1665        | 9.0   | 1845 | 2.4628          |
| 2.1042        | 10.0  | 2050 | 2.4725          |
| 2.0445        | 11.0  | 2255 | 2.3773          |
| 2.0271        | 12.0  | 2460 | 2.3718          |
| 2.0039        | 13.0  | 2665 | 2.3011          |
| 1.9585        | 14.0  | 2870 | 2.3232          |
| 1.961         | 15.0  | 3075 | 2.2512          |
| 1.914         | 16.0  | 3280 | 2.2426          |
| 1.9351        | 17.0  | 3485 | 2.2657          |
| 1.8987        | 18.0  | 3690 | 2.2187          |
| 1.8596        | 19.0  | 3895 | 2.2450          |
| 1.8777        | 20.0  | 4100 | 2.2323          |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0