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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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model-index: |
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- name: text_classifier |
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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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# text_classifier |
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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: 3.2472 |
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- Accuracy: 0.6158 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 2.4863 | 1.0 | 760 | 2.0973 | 0.2474 | |
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| 1.8132 | 2.0 | 1520 | 1.7995 | 0.4237 | |
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| 1.5143 | 3.0 | 2280 | 1.5842 | 0.5053 | |
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| 1.3095 | 4.0 | 3040 | 1.8946 | 0.5553 | |
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| 1.0743 | 5.0 | 3800 | 1.9189 | 0.5684 | |
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| 0.9554 | 6.0 | 4560 | 2.1748 | 0.5974 | |
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| 0.7778 | 7.0 | 5320 | 2.2701 | 0.6263 | |
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| 0.5849 | 8.0 | 6080 | 2.5282 | 0.6237 | |
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| 0.5472 | 9.0 | 6840 | 2.7330 | 0.6184 | |
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| 0.4232 | 10.0 | 7600 | 2.9518 | 0.6079 | |
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| 0.2858 | 11.0 | 8360 | 2.8892 | 0.6263 | |
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| 0.2908 | 12.0 | 9120 | 3.0251 | 0.6289 | |
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| 0.2391 | 13.0 | 9880 | 3.1414 | 0.6211 | |
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| 0.1569 | 14.0 | 10640 | 3.2581 | 0.6184 | |
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| 0.1405 | 15.0 | 11400 | 3.2472 | 0.6158 | |
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### Framework versions |
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- Transformers 4.36.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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