metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: xlm-roberta-base-POS-arabic
results: []
xlm-roberta-base-POS-arabic
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0822
- F1: 0.9689
- Accuracy: 0.9785
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
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|---|---|---|---|---|---|
| 0.5584 | 1.0 | 95 | 0.1231 | 0.9537 | 0.9679 |
| 0.1191 | 2.0 | 190 | 0.0933 | 0.9645 | 0.9755 |
| 0.0901 | 3.0 | 285 | 0.0868 | 0.9667 | 0.9768 |
| 0.0757 | 4.0 | 380 | 0.0851 | 0.9675 | 0.9774 |
| 0.066 | 5.0 | 475 | 0.0822 | 0.9689 | 0.9785 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2