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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_25_SEPT_WITH_FINETUNE_1.0 |
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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_25_SEPT_WITH_FINETUNE_1.0 |
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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: 0.0007 |
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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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| 0.3279 | 1.0 | 9675 | 0.1663 | |
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| 0.0487 | 2.0 | 19350 | 0.0298 | |
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| 0.0388 | 3.0 | 29025 | 0.0166 | |
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| 0.0018 | 4.0 | 38700 | 0.0089 | |
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| 0.0121 | 5.0 | 48375 | 0.0059 | |
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| 0.0021 | 6.0 | 58050 | 0.0063 | |
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| 0.0009 | 7.0 | 67725 | 0.0023 | |
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| 0.0002 | 8.0 | 77400 | 0.0055 | |
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| 0.0011 | 9.0 | 87075 | 0.0047 | |
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| 0.0 | 10.0 | 96750 | 0.0007 | |
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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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