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README.md
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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_19_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_19_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: 0.0008
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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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| 0.0178 | 1.0 | 76947 | 0.0089 |
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| 0.0054 | 2.0 | 153894 | 0.0070 |
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| 0.0241 | 3.0 | 230841 | 0.0031 |
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| 0.0009 | 4.0 | 307788 | 0.0248 |
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| 0.0195 | 5.0 | 384735 | 0.0059 |
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| 0.0105 | 6.0 | 461682 | 0.0007 |
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| 0.0 | 7.0 | 538629 | 0.0007 |
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| 0.0 | 8.0 | 615576 | 0.0005 |
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| 0.0 | 9.0 | 692523 | 0.0009 |
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| 0.0 | 10.0 | 769470 | 0.0008 |
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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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