metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-en
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
config: PAN-X.en
split: validation
args: PAN-X.en
metrics:
- name: F1
type: f1
value: 0.7391681109185442
xlm-roberta-base-finetuned-panx-en
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: 0.5454
- F1: 0.7392
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 |
|---|---|---|---|---|
| 0.9671 | 1.0 | 64 | 0.4469 | 0.5852 |
| 0.4238 | 2.0 | 128 | 0.3829 | 0.6812 |
| 0.2991 | 3.0 | 192 | 0.4379 | 0.6792 |
| 0.228 | 4.0 | 256 | 0.4082 | 0.7109 |
| 0.1664 | 5.0 | 320 | 0.4420 | 0.7190 |
| 0.1202 | 6.0 | 384 | 0.4736 | 0.7228 |
| 0.0918 | 7.0 | 448 | 0.5068 | 0.7334 |
| 0.0681 | 8.0 | 512 | 0.5204 | 0.7316 |
| 0.0495 | 9.0 | 576 | 0.5273 | 0.7389 |
| 0.0383 | 10.0 | 640 | 0.5454 | 0.7392 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3