metadata
license: mit
base_model: seddiktrk/xlm-roberta-base-finetuned-panx-39-langs
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-39-langs
results: []
xlm-roberta-base-finetuned-panx-39-langs
This model is a fine-tuned version of seddiktrk/xlm-roberta-base-finetuned-panx-39-langs on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2441
- F1: 0.8481
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.1866 | 0.2 | 375 | 0.2644 | 0.8293 |
| 0.1999 | 0.4 | 750 | 0.2374 | 0.8313 |
| 0.1946 | 0.6 | 1125 | 0.2375 | 0.8300 |
| 0.1868 | 0.8 | 1500 | 0.2280 | 0.8377 |
| 0.1854 | 1.0 | 1875 | 0.2179 | 0.8419 |
| 0.1224 | 1.2 | 2250 | 0.2557 | 0.8426 |
| 0.1261 | 1.4 | 2625 | 0.2493 | 0.8436 |
| 0.1226 | 1.6 | 3000 | 0.2413 | 0.8460 |
| 0.1247 | 1.8 | 3375 | 0.2440 | 0.8469 |
| 0.1192 | 2.0 | 3750 | 0.2441 | 0.8481 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1