metadata
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
base_model: xlm-roberta-base
model-index:
- name: xlm-roberta-base-finetuned-panx-ta
results:
- task:
type: token-classification
name: Token Classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.ta
metrics:
- type: f1
value: 0.8144578313253013
name: F1
xlm-roberta-base-finetuned-panx-ta
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: 0.2183
- F1: 0.8145
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 |
---|---|---|---|---|
0.5477 | 1.0 | 209 | 0.2732 | 0.7305 |
0.2506 | 2.0 | 418 | 0.2425 | 0.7626 |
0.168 | 3.0 | 627 | 0.2183 | 0.8145 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.11.0
- Datasets 1.16.1
- Tokenizers 0.10.3