| --- |
| license: mit |
| base_model: xlm-roberta-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: rap_phase2_04dec |
| 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_04dec |
|
|
| 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: 0.0032 |
|
|
| ## 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: 3 |
| - eval_batch_size: 3 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 0.1678 | 1.0 | 9639 | 0.0739 | |
| | 0.0645 | 2.0 | 19278 | 0.0774 | |
| | 0.0601 | 3.0 | 28917 | 0.0403 | |
| | 0.0314 | 4.0 | 38556 | 0.0162 | |
| | 0.2123 | 5.0 | 48195 | 0.0150 | |
| | 0.0211 | 6.0 | 57834 | 0.0039 | |
| | 0.0111 | 7.0 | 67473 | 0.0097 | |
| | 0.0064 | 8.0 | 77112 | 0.0025 | |
| | 0.0021 | 9.0 | 86751 | 0.0018 | |
| | 0.0016 | 10.0 | 96390 | 0.0032 | |
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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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|
