metadata
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: ukr-xlm-asym-lr-3e-5
results: []
ukr-xlm-asym-lr-3e-5
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0619
- F1-micro: 0.4793
- F1-macro: 0.3770
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: 3e-05
- train_batch_size: 16
- 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
- lr_scheduler_warmup_steps: 49
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-micro | F1-macro |
|---|---|---|---|---|---|
| 0.081 | 1.0 | 124 | 0.0794 | 0.2544 | 0.0940 |
| 0.0788 | 2.0 | 248 | 0.0785 | 0.2621 | 0.0950 |
| 0.0731 | 3.0 | 372 | 0.0646 | 0.4561 | 0.3056 |
| 0.0601 | 4.0 | 496 | 0.0619 | 0.4793 | 0.3770 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0