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--- |
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license: mit |
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base_model: microsoft/deberta-v3-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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model-index: |
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- name: deberta-v3-small-nslp-forc-subtask1 |
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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-small-nslp-forc-subtask1 |
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This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2167 |
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- Accuracy: 0.6649 |
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- Precision: 0.6642 |
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- Recall: 0.6649 |
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- F1-weighted: 0.6595 |
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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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1-weighted | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:-----------:| |
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| 0.3563 | 0.77 | 2000 | 0.3333 | 0.5035 | 0.4651 | 0.5035 | 0.4562 | |
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| 0.2443 | 1.54 | 4000 | 0.2647 | 0.5708 | 0.5598 | 0.5708 | 0.5484 | |
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| 0.1736 | 2.31 | 6000 | 0.2359 | 0.6152 | 0.6105 | 0.6152 | 0.5969 | |
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| 0.1404 | 3.08 | 8000 | 0.2207 | 0.6424 | 0.6391 | 0.6424 | 0.6250 | |
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| 0.1109 | 3.85 | 10000 | 0.2181 | 0.6581 | 0.6534 | 0.6581 | 0.6490 | |
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| 0.0817 | 4.62 | 12000 | 0.2167 | 0.6649 | 0.6642 | 0.6649 | 0.6595 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
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