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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: 2.0986 |
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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: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 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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| 4.3053 | 1.0 | 845 | 3.3807 | |
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| 3.0627 | 2.0 | 1690 | 2.7710 | |
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| 2.2496 | 3.0 | 2535 | 2.6862 | |
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| 2.0757 | 4.0 | 3380 | 2.5335 | |
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| 1.8615 | 5.0 | 4225 | 2.2315 | |
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| 1.7144 | 6.0 | 5070 | 2.3905 | |
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| 1.6598 | 7.0 | 5915 | 2.1928 | |
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| 1.5843 | 8.0 | 6760 | 2.1073 | |
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| 1.5172 | 9.0 | 7605 | 2.0659 | |
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| 1.4915 | 10.0 | 8450 | 2.0986 | |
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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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