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--- |
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license: mit |
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base_model: xlm-roberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: rap_phase2_05dec |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# rap_phase2_05dec |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0086 |
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## 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: |
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- learning_rate: 2e-05 |
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- train_batch_size: 3 |
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- eval_batch_size: 3 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 0.1671 | 1.0 | 10395 | 0.3919 | |
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| 0.1272 | 2.0 | 20790 | 0.0634 | |
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| 0.0599 | 3.0 | 31185 | 0.0425 | |
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| 0.0247 | 4.0 | 41580 | 0.0309 | |
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| 0.0788 | 5.0 | 51975 | 0.0292 | |
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| 0.0047 | 6.0 | 62370 | 0.0093 | |
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| 0.0106 | 7.0 | 72765 | 0.0068 | |
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| 0.0182 | 8.0 | 83160 | 0.0074 | |
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| 0.0 | 9.0 | 93555 | 0.0092 | |
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| 0.0013 | 10.0 | 103950 | 0.0086 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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