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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_16 |
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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_16 |
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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: 0.0383 |
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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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| 0.0454 | 1.0 | 1800 | 0.0552 | |
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| 0.0534 | 2.0 | 3600 | 0.0423 | |
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| 0.3243 | 3.0 | 5400 | 0.0335 | |
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| 0.051 | 4.0 | 7200 | 0.0482 | |
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| 0.033 | 5.0 | 9000 | 0.0260 | |
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| 0.0378 | 6.0 | 10800 | 0.0233 | |
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| 0.0206 | 7.0 | 12600 | 0.0282 | |
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| 0.0399 | 8.0 | 14400 | 0.0490 | |
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| 0.009 | 9.0 | 16200 | 0.0282 | |
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| 0.0239 | 10.0 | 18000 | 0.0383 | |
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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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