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: 0.1584 | |
- F1: 0.8537 | |
## 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: 48 | |
- eval_batch_size: 48 | |
- 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 | | |
|:-------------:|:-----:|:----:|:---------------:|:------:| | |
| No log | 1.0 | 358 | 0.1776 | 0.8263 | | |
| 0.2394 | 2.0 | 716 | 0.1599 | 0.8447 | | |
| 0.2394 | 3.0 | 1074 | 0.1584 | 0.8537 | | |
### Framework versions | |
- Transformers 4.11.3 | |
- Pytorch 1.10.2 | |
- Datasets 1.18.4 | |
- Tokenizers 0.10.3 | |