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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: QA_REDACTION_NOV1 |
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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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# QA_REDACTION_NOV1 |
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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: 0.0170 |
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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: 4 |
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- eval_batch_size: 4 |
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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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| 0.9087 | 1.0 | 928 | 0.0382 | |
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| 0.0727 | 2.0 | 1856 | 0.0195 | |
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| 0.0954 | 3.0 | 2784 | 3.1621 | |
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| 0.3541 | 4.0 | 3712 | 0.0192 | |
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| 0.0849 | 5.0 | 4640 | 0.0164 | |
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| 0.0317 | 6.0 | 5568 | 0.0131 | |
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| 0.0327 | 7.0 | 6496 | 0.0151 | |
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| 0.0407 | 8.0 | 7424 | 0.0142 | |
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| 0.0383 | 9.0 | 8352 | 0.0176 | |
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| 0.0182 | 10.0 | 9280 | 0.0170 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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