---
library_name: transformers
base_model: UBC-NLP/MARBERT
tags:
- generated_from_trainer
model-index:
- name: questions
  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. -->

# questions

This model is a fine-tuned version of [UBC-NLP/MARBERT](https://huggingface.co/UBC-NLP/MARBERT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3773
- Micro F1: 0.6604
- Weighted F1: 0.5871
- Jaccard: 0.5857

## 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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH 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 | Micro F1 | Weighted F1 | Jaccard |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:-------:|
| 0.5348        | 1.0   | 18   | 0.4242          | 0.6375   | 0.5254      | 0.5017  |
| 0.4411        | 2.0   | 36   | 0.3905          | 0.6575   | 0.5532      | 0.5821  |
| 0.4151        | 3.0   | 54   | 0.3773          | 0.6604   | 0.5871      | 0.5857  |
| 0.3852        | 4.0   | 72   | 0.3773          | 0.6176   | 0.5684      | 0.5476  |
| 0.3691        | 5.0   | 90   | 0.3732          | 0.6244   | 0.5701      | 0.5524  |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1