| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: mytest_trainer_roberta |
| 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. --> |
|
|
| # mytest_trainer_roberta |
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|
| This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.8617 |
| - Rmse: 0.6928 |
|
|
| ## Model description |
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| 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: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
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|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | Rmse | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.7365 | 1.0 | 500 | 0.6992 | 0.7543 | |
| | 0.6079 | 2.0 | 1000 | 0.6532 | 0.6841 | |
| | 0.4798 | 3.0 | 1500 | 0.7034 | 0.6823 | |
| | 0.3451 | 4.0 | 2000 | 0.7757 | 0.6925 | |
| | 0.256 | 5.0 | 2500 | 1.0959 | 0.7266 | |
| | 0.1818 | 6.0 | 3000 | 1.2213 | 0.6775 | |
| | 0.1407 | 7.0 | 3500 | 1.4863 | 0.6764 | |
| | 0.0938 | 8.0 | 4000 | 1.7213 | 0.7032 | |
| | 0.0623 | 9.0 | 4500 | 1.8237 | 0.6917 | |
| | 0.0484 | 10.0 | 5000 | 1.8617 | 0.6928 | |
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| ### Framework versions |
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|
| - Transformers 4.30.2 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.13.1 |
| - Tokenizers 0.13.3 |
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|
