| --- |
| license: mit |
| base_model: xlm-roberta-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: xlm-roberta-base-finetuned-panx-en |
| 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-en |
|
|
| 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: 0.1745 |
| - F1: 0.8555 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
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| ## Training and evaluation data |
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|
| More information needed |
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|
| ## Training procedure |
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|
| ### Training hyperparameters |
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| 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.235 | 1.0 | 835 | 0.2044 | 0.8053 | |
| | 0.1574 | 2.0 | 1670 | 0.1664 | 0.8442 | |
| | 0.0968 | 3.0 | 2505 | 0.1745 | 0.8555 | |
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| ### Framework versions |
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|
| - Transformers 4.39.0 |
| - Pytorch 2.2.1+cpu |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
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|
