metadata
license: mit
tags:
- generated_from_trainer
datasets:
- germeval_14
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-germeval-14-4-labels
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: germeval_14
type: germeval_14
config: germeval_14
split: validation
args: germeval_14
metrics:
- name: F1
type: f1
value: 0.9268456375838925
xlm-roberta-base-finetuned-germeval-14-4-labels
This model is a fine-tuned version of xlm-roberta-base on the germeval_14 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0592
- F1: 0.9268
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.0896 | 1.0 | 1000 | 0.0557 | 0.9059 |
| 0.042 | 2.0 | 2000 | 0.0579 | 0.9183 |
| 0.0239 | 3.0 | 3000 | 0.0592 | 0.9268 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3