metadata
library_name: transformers
base_model: UBC-NLP/MARBERT
tags:
- generated_from_trainer
model-index:
- name: questions
results: []
questions
This model is a fine-tuned version of 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