| library_name: transformers | |
| license: mit | |
| base_model: xlm-roberta-base | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - f1 | |
| model-index: | |
| - name: xlm-roberta-base-finetuned-panx-training-args-de-fr | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # xlm-roberta-base-finetuned-panx-training-args-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: 0.2232 | |
| - F1: 0.8196 | |
| ## 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: 14 | |
| - eval_batch_size: 14 | |
| - 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 | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| | |
| | 0.4634 | 1.0 | 215 | 0.2751 | 0.7580 | | |
| | 0.2071 | 2.0 | 430 | 0.2241 | 0.7967 | | |
| | 0.1326 | 3.0 | 645 | 0.2232 | 0.8196 | | |
| ### Framework versions | |
| - Transformers 4.45.0 | |
| - Pytorch 2.4.1 | |
| - Datasets 3.0.1 | |
| - Tokenizers 0.20.0 | |