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--- |
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license: mit |
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base_model: microsoft/deberta-v3-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: deberta-v3-base-1107 |
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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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# deberta-v3-base-1107 |
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9863 |
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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: 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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- 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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| 0.7812 | 1.0 | 1828 | 0.9348 | |
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| 0.4504 | 2.0 | 3656 | 0.7760 | |
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| 0.331 | 3.0 | 5484 | 0.6675 | |
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| 0.2598 | 4.0 | 7312 | 0.6908 | |
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| 0.1981 | 5.0 | 9140 | 0.6874 | |
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| 0.1503 | 6.0 | 10968 | 0.7792 | |
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| 0.1196 | 7.0 | 12796 | 0.8088 | |
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| 0.093 | 8.0 | 14624 | 0.8430 | |
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| 0.0709 | 9.0 | 16452 | 0.9185 | |
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| 0.0554 | 10.0 | 18280 | 0.9863 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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