| --- |
| license: mit |
| base_model: FacebookAI/xlm-roberta-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: reberta |
| 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. --> |
|
|
| # reberta |
|
|
| This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3429 |
| - Accuracy: 0.9408 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 0.2089 | 1.0 | 1250 | 0.1942 | 0.9408 | |
| | 0.1623 | 2.0 | 2500 | 0.1801 | 0.9428 | |
| | 0.1364 | 3.0 | 3750 | 0.1934 | 0.9466 | |
| | 0.1051 | 4.0 | 5000 | 0.2134 | 0.9456 | |
| | 0.0737 | 5.0 | 6250 | 0.2472 | 0.9446 | |
| | 0.062 | 6.0 | 7500 | 0.2751 | 0.944 | |
| | 0.0441 | 7.0 | 8750 | 0.2992 | 0.9422 | |
| | 0.0342 | 8.0 | 10000 | 0.3116 | 0.9432 | |
| | 0.026 | 9.0 | 11250 | 0.3360 | 0.943 | |
| | 0.0179 | 10.0 | 12500 | 0.3429 | 0.9408 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.39.3 |
| - Pytorch 2.1.2 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
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|
