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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_17 |
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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_17 |
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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: 0.0463 |
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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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| 0.0217 | 1.0 | 1913 | 0.0561 | |
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| 0.076 | 2.0 | 3826 | 0.0338 | |
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| 0.0732 | 3.0 | 5739 | 0.0277 | |
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| 0.0483 | 4.0 | 7652 | 0.0250 | |
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| 0.0282 | 5.0 | 9565 | 0.1352 | |
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| 0.0255 | 6.0 | 11478 | 0.0270 | |
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| 0.0227 | 7.0 | 13391 | 0.0282 | |
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| 0.0038 | 8.0 | 15304 | 0.0499 | |
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| 0.0178 | 9.0 | 17217 | 0.0439 | |
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| 0.0052 | 10.0 | 19130 | 0.0463 | |
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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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