---
library_name: transformers
base_model: UBC-NLP/MARBERT
tags:
- generated_from_trainer
model-index:
- name: offres_classification_UBC-NLP_MARBERT_promo_classification_new_train_data_v1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# offres_classification_UBC-NLP_MARBERT_promo_classification_new_train_data_v1

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: 0.0640

## 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-06
- train_batch_size: 16
- 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 211  | 1.4751          |
| No log        | 2.0   | 422  | 0.8215          |
| 1.4542        | 3.0   | 633  | 0.4444          |
| 1.4542        | 4.0   | 844  | 0.2632          |
| 0.4504        | 5.0   | 1055 | 0.1727          |
| 0.4504        | 6.0   | 1266 | 0.1351          |
| 0.4504        | 7.0   | 1477 | 0.0994          |
| 0.1381        | 8.0   | 1688 | 0.0911          |
| 0.1381        | 9.0   | 1899 | 0.0767          |
| 0.0581        | 10.0  | 2110 | 0.0790          |
| 0.0581        | 11.0  | 2321 | 0.0726          |
| 0.0383        | 12.0  | 2532 | 0.0691          |
| 0.0383        | 13.0  | 2743 | 0.0654          |
| 0.0383        | 14.0  | 2954 | 0.0669          |
| 0.0262        | 15.0  | 3165 | 0.0643          |
| 0.0262        | 16.0  | 3376 | 0.0653          |
| 0.0231        | 17.0  | 3587 | 0.0669          |
| 0.0231        | 18.0  | 3798 | 0.0647          |
| 0.0177        | 19.0  | 4009 | 0.0636          |
| 0.0177        | 20.0  | 4220 | 0.0640          |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.21.1