license: mit | |
tags: | |
- generated_from_trainer | |
metrics: | |
- f1 | |
model-index: | |
- name: xlm-roberta-base-finetuned-panx-de-fr | |
results: [] | |
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# xlm-roberta-base-finetuned-panx-de-fr | |
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.1644 | |
- F1: 0.8617 | |
## 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 | | |
|:-------------:|:-----:|:----:|:---------------:|:------:| | |
| 0.2891 | 1.0 | 715 | 0.1780 | 0.8288 | | |
| 0.1471 | 2.0 | 1430 | 0.1627 | 0.8509 | | |
| 0.0947 | 3.0 | 2145 | 0.1644 | 0.8617 | | |
### Framework versions | |
- Transformers 4.20.1 | |
- Pytorch 1.11.0+cu113 | |
- Datasets 2.3.2 | |
- Tokenizers 0.12.1 | |