---
library_name: transformers
base_model: UBC-NLP/MARBERTv2
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [UBC-NLP/MARBERTv2](https://huggingface.co/UBC-NLP/MARBERTv2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3179
- F1-micro: 0.7925
- F1-macro: 0.7727
- Jaccard: 0.7206

## 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: 8
- eval_batch_size: 8
- 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1-micro | F1-macro | Jaccard |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-------:|
| No log        | 1.0   | 39   | 0.4793          | 0.5859   | 0.4521   | 0.4773  |
| No log        | 2.0   | 78   | 0.4556          | 0.5737   | 0.4510   | 0.4754  |
| 0.4791        | 3.0   | 117  | 0.4079          | 0.6209   | 0.4892   | 0.5413  |
| 0.4791        | 4.0   | 156  | 0.3969          | 0.5785   | 0.4580   | 0.5008  |
| 0.4791        | 5.0   | 195  | 0.3711          | 0.6526   | 0.5956   | 0.5738  |
| 0.3661        | 6.0   | 234  | 0.3866          | 0.6246   | 0.5735   | 0.5357  |
| 0.3661        | 7.0   | 273  | 0.3400          | 0.7123   | 0.6774   | 0.6405  |
| 0.2748        | 8.0   | 312  | 0.3415          | 0.7163   | 0.6823   | 0.6365  |
| 0.2748        | 9.0   | 351  | 0.3296          | 0.75     | 0.7204   | 0.6714  |
| 0.2748        | 10.0  | 390  | 0.3162          | 0.7735   | 0.7438   | 0.6984  |
| 0.2162        | 11.0  | 429  | 0.3174          | 0.7859   | 0.7613   | 0.7111  |
| 0.2162        | 12.0  | 468  | 0.3056          | 0.7847   | 0.7656   | 0.7222  |
| 0.1889        | 13.0  | 507  | 0.3217          | 0.7880   | 0.7681   | 0.7159  |
| 0.1889        | 14.0  | 546  | 0.3209          | 0.7847   | 0.7649   | 0.7111  |
| 0.1889        | 15.0  | 585  | 0.3179          | 0.7925   | 0.7727   | 0.7206  |


### Framework versions

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