metadata
library_name: transformers
base_model: UBC-NLP/MARBERT
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: MARBERT
results: []
MARBERT
This model is a fine-tuned version of UBC-NLP/MARBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0270
- Precision: 0.4848
- Recall: 0.6957
- F1: 0.5714
- Accuracy: 0.6772
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 | 0.8519 | 0.0 | 0.0 | 0.0 | 0.625 |
| No log | 2.0 | 10 | 0.8108 | 0.0 | 0.0 | 0.0 | 0.6806 |
| No log | 3.0 | 15 | 0.7524 | 0.0 | 0.0 | 0.0 | 0.7361 |
| No log | 4.0 | 20 | 0.6927 | 0.2222 | 0.2857 | 0.25 | 0.7083 |
| No log | 5.0 | 25 | 0.6995 | 0.0 | 0.0 | 0.0 | 0.7222 |
| No log | 6.0 | 30 | 0.8241 | 0.1818 | 0.2857 | 0.2222 | 0.625 |
| No log | 7.0 | 35 | 0.6811 | 0.2222 | 0.2857 | 0.25 | 0.75 |
| No log | 8.0 | 40 | 0.6957 | 0.25 | 0.2857 | 0.2667 | 0.7639 |
| No log | 9.0 | 45 | 0.7392 | 0.2222 | 0.2857 | 0.25 | 0.6944 |
| No log | 10.0 | 50 | 0.7612 | 0.2222 | 0.2857 | 0.25 | 0.6944 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0