---
library_name: transformers
base_model: UBC-NLP/MARBERTv2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: NADI-Region-DID-MARBERTv2
  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. -->

# NADI-Region-DID-MARBERTv2

This model is a fine-tuned version of [UBC-NLP/MARBERTv2](https://huggingface.co/UBC-NLP/MARBERTv2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9010
- Accuracy: 0.5727
- F1: 0.5327

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.0875        | 1.0   | 883  | 1.2967          | 0.5970   | 0.5349 |
| 0.4608        | 2.0   | 1766 | 1.6182          | 0.5510   | 0.5175 |
| 0.2091        | 3.0   | 2649 | 2.1728          | 0.5763   | 0.5379 |
| 0.0872        | 4.0   | 3532 | 2.7735          | 0.5540   | 0.5178 |
| 0.0385        | 5.0   | 4415 | 2.9010          | 0.5727   | 0.5327 |


### Framework versions

- Transformers 4.55.2
- Pytorch 2.8.0+cu128
- Datasets 2.16.0
- Tokenizers 0.21.4