metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-arman-fa
results: []
xlm-roberta-base-finetuned-arman-fa
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0087
- F1: 0.9841
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.1044 | 1.0 | 2305 | 0.0526 | 0.8511 |
| 0.0384 | 2.0 | 4610 | 0.0323 | 0.9098 |
| 0.0165 | 3.0 | 6915 | 0.0164 | 0.9560 |
| 0.0071 | 4.0 | 9220 | 0.0118 | 0.9751 |
| 0.0024 | 5.0 | 11525 | 0.0087 | 0.9841 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1