| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| datasets: |
| - xtreme |
| metrics: |
| - f1 |
| model-index: |
| - name: xlm-roberta-base-finetuned-panx-en |
| results: |
| - task: |
| name: Token Classification |
| type: token-classification |
| dataset: |
| name: xtreme |
| type: xtreme |
| args: PAN-X.en |
| metrics: |
| - name: F1 |
| type: f1 |
| value: 0.7043040804918949 |
| --- |
| |
| <!-- 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-en |
|
|
| This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3814 |
| - F1: 0.7043 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 1.1472 | 1.0 | 50 | 0.5820 | 0.4600 | |
| | 0.5186 | 2.0 | 100 | 0.4105 | 0.6645 | |
| | 0.3599 | 3.0 | 150 | 0.3814 | 0.7043 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.11.3 |
| - Pytorch 1.9.1 |
| - Datasets 1.16.1 |
| - Tokenizers 0.10.3 |
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|
