metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
base_model: xlm-roberta-base
model-index:
- name: xlm-roberta-base-finetuned-panx-de-fr
results: []
xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1907
- F1: 0.8682
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2901 | 1.0 | 715 | 0.1864 | 0.8211 |
| 0.1576 | 2.0 | 1430 | 0.1667 | 0.8441 |
| 0.1038 | 3.0 | 2145 | 0.1710 | 0.8452 |
| 0.0701 | 4.0 | 2860 | 0.1787 | 0.8636 |
| 0.0449 | 5.0 | 3575 | 0.1907 | 0.8682 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2