metadata
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.de
metrics:
- name: F1
type: f1
value: 0.8786639400136332
xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of xlm-roberta-base on the xtreme dataset. It achieves the following results on the evaluation set:
- Loss: 0.2182
- F1: 0.8787
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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2639 | 1.0 | 525 | 0.1798 | 0.8056 |
| 0.1404 | 2.0 | 1050 | 0.1577 | 0.8370 |
| 0.0994 | 3.0 | 1575 | 0.1451 | 0.8554 |
| 0.0721 | 4.0 | 2100 | 0.1516 | 0.8532 |
| 0.0518 | 5.0 | 2625 | 0.1648 | 0.8630 |
| 0.0341 | 6.0 | 3150 | 0.1926 | 0.8706 |
| 0.024 | 7.0 | 3675 | 0.1911 | 0.8721 |
| 0.0153 | 8.0 | 4200 | 0.2029 | 0.8773 |
| 0.0097 | 9.0 | 4725 | 0.2146 | 0.8773 |
| 0.0075 | 10.0 | 5250 | 0.2182 | 0.8787 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.8.0+cu126
- Datasets 1.16.1
- Tokenizers 0.22.1