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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_SYNTH_DATA_WITH_UNANSWERABLE_05_SEPT |
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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_SYNTH_DATA_WITH_UNANSWERABLE_05_SEPT |
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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: 0.0053 |
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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: 2 |
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- eval_batch_size: 2 |
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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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| 0.0478 | 1.0 | 16275 | 0.0446 | |
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| 0.0825 | 2.0 | 32550 | 0.0349 | |
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| 0.0674 | 3.0 | 48825 | 0.0366 | |
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| 0.0088 | 4.0 | 65100 | 0.0301 | |
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| 0.0102 | 5.0 | 81375 | 0.0110 | |
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| 0.0036 | 6.0 | 97650 | 0.0040 | |
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| 0.0 | 7.0 | 113925 | 0.0055 | |
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| 0.0 | 8.0 | 130200 | 0.0056 | |
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| 0.0 | 9.0 | 146475 | 0.0052 | |
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| 0.0 | 10.0 | 162750 | 0.0053 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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