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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: vipubmed-deberta-xsmall-finetuned-squad |
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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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# vipubmed-deberta-xsmall-finetuned-squad |
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This model is a fine-tuned version of [manhtt-079/vipubmed-deberta-xsmall](https://huggingface.co/manhtt-079/vipubmed-deberta-xsmall) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.6448 |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 2.1442 | 1.0 | 1622 | 1.9280 | |
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| 1.5136 | 2.0 | 3244 | 1.5406 | |
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| 1.1747 | 3.0 | 4866 | 1.5945 | |
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| 0.9242 | 4.0 | 6488 | 1.6185 | |
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| 0.7439 | 5.0 | 8110 | 1.7099 | |
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| 0.5699 | 6.0 | 9732 | 1.8345 | |
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| 0.4549 | 7.0 | 11354 | 2.0935 | |
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| 0.3667 | 8.0 | 12976 | 2.2295 | |
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| 0.2881 | 9.0 | 14598 | 2.4917 | |
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| 0.2398 | 10.0 | 16220 | 2.7296 | |
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| 0.1911 | 11.0 | 17842 | 2.9421 | |
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| 0.1539 | 12.0 | 19464 | 3.1193 | |
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| 0.1273 | 13.0 | 21086 | 3.3655 | |
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| 0.1147 | 14.0 | 22708 | 3.4853 | |
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| 0.0957 | 15.0 | 24330 | 3.6448 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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