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---
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: 0.3756
- Micro F1: 0.6542
- Weighted F1: 0.5875
- Jaccard: 0.5726
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:-------:|
| 0.5395 | 1.0 | 18 | 0.4255 | 0.6375 | 0.5254 | 0.5017 |
| 0.4424 | 2.0 | 36 | 0.3918 | 0.6607 | 0.5539 | 0.5743 |
| 0.4146 | 3.0 | 54 | 0.3756 | 0.6542 | 0.5875 | 0.5726 |
| 0.3844 | 4.0 | 72 | 0.3776 | 0.6197 | 0.5665 | 0.5298 |
| 0.3647 | 5.0 | 90 | 0.3738 | 0.6161 | 0.5609 | 0.5286 |
### Framework versions
- Transformers 4.53.3
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2
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