| --- |
| license: mit |
| base_model: xlm-roberta-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: rap_phase2_01dec |
| 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. --> |
|
|
| # rap_phase2_01dec |
|
|
| This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0046 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - 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 | |
| |:-------------:|:-----:|:------:|:---------------:| |
| | 0.1838 | 1.0 | 12474 | 0.1158 | |
| | 0.1041 | 2.0 | 24948 | 0.0534 | |
| | 0.0915 | 3.0 | 37422 | 0.0270 | |
| | 0.0293 | 4.0 | 49896 | 0.0213 | |
| | 0.0151 | 5.0 | 62370 | 0.0156 | |
| | 0.0426 | 6.0 | 74844 | 0.0110 | |
| | 0.0138 | 7.0 | 87318 | 0.0088 | |
| | 0.0 | 8.0 | 99792 | 0.0056 | |
| | 0.0075 | 9.0 | 112266 | 0.0053 | |
| | 0.0 | 10.0 | 124740 | 0.0046 | |
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| ### Framework versions |
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|
| - Transformers 4.35.2 |
| - Pytorch 2.1.1+cu118 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
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|
