---
library_name: transformers
base_model: UBC-NLP/MARBERT
tags:
- generated_from_trainer
model-index:
- name: fold_4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# fold_4

This model is a fine-tuned version of [UBC-NLP/MARBERT](https://huggingface.co/UBC-NLP/MARBERT) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4025
- Macro F1: 0.8920

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Macro F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9836        | 1.0   | 87   | 0.5345          | 0.7540   |
| 0.3982        | 2.0   | 174  | 0.3769          | 0.8723   |
| 0.2025        | 3.0   | 261  | 0.3329          | 0.8814   |
| 0.1355        | 4.0   | 348  | 0.3793          | 0.8971   |
| 0.0506        | 5.0   | 435  | 0.4025          | 0.8920   |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2