---
library_name: transformers
base_model: UBC-NLP/MARBERT
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: MARBERT_with_categories
  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. -->

# MARBERT_with_categories

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: 1.7872
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.4724

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
| No log        | 1.0   | 5    | 1.3124          | 0.0       | 0.0    | 0.0 | 0.625    |
| No log        | 2.0   | 10   | 1.2426          | 0.0       | 0.0    | 0.0 | 0.625    |
| No log        | 3.0   | 15   | 1.0762          | 0.0       | 0.0    | 0.0 | 0.625    |
| No log        | 4.0   | 20   | 1.0386          | 0.0       | 0.0    | 0.0 | 0.6389   |
| No log        | 5.0   | 25   | 0.9635          | 0.0       | 0.0    | 0.0 | 0.6528   |
| No log        | 6.0   | 30   | 0.9486          | 0.0       | 0.0    | 0.0 | 0.6944   |
| No log        | 7.0   | 35   | 0.9383          | 0.0       | 0.0    | 0.0 | 0.6944   |
| No log        | 8.0   | 40   | 0.9533          | 0.0       | 0.0    | 0.0 | 0.6528   |
| No log        | 9.0   | 45   | 0.9997          | 0.0       | 0.0    | 0.0 | 0.6528   |
| No log        | 10.0  | 50   | 1.0130          | 0.0       | 0.0    | 0.0 | 0.6528   |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0