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--- |
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license: mit |
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base_model: microsoft/deberta-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: deberta-base-DIALOCONAN-WIKI-CLS |
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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-base-DIALOCONAN-WIKI-CLS |
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This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3866 |
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- Precision: 0.6323 |
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- Recall: 0.6344 |
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- F1: 0.6333 |
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- Accuracy: 0.9484 |
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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: 3e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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 | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.3835 | 1.0 | 2500 | 0.4185 | 0.6829 | 0.6859 | 0.6832 | 0.9097 | |
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| 0.2718 | 2.0 | 5000 | 0.3822 | 0.7011 | 0.7016 | 0.7011 | 0.9329 | |
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| 0.1602 | 3.0 | 7500 | 0.3330 | 0.6302 | 0.6321 | 0.6311 | 0.9451 | |
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| 0.1018 | 4.0 | 10000 | 0.3639 | 0.6332 | 0.6351 | 0.6340 | 0.9496 | |
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| 0.0508 | 5.0 | 12500 | 0.3866 | 0.6323 | 0.6344 | 0.6333 | 0.9484 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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