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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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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: group4_non_all_zero |
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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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# group4_non_all_zero |
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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: 1.2820 |
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- Precision: 0.0006 |
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- Recall: 0.08 |
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- F1: 0.0012 |
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- Accuracy: 0.4380 |
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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: 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: 15 |
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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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| No log | 1.0 | 5 | 2.1670 | 0.0 | 0.0 | 0.0 | 0.0084 | |
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| No log | 2.0 | 10 | 2.3289 | 0.0 | 0.0 | 0.0 | 0.0078 | |
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| No log | 3.0 | 15 | 2.3316 | 0.0 | 0.0 | 0.0 | 0.0078 | |
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| No log | 4.0 | 20 | 2.0441 | 0.0 | 0.0 | 0.0 | 0.0078 | |
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| No log | 5.0 | 25 | 2.4322 | 0.0 | 0.0 | 0.0 | 0.0078 | |
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| No log | 6.0 | 30 | 1.7898 | 0.0 | 0.0 | 0.0 | 0.0106 | |
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| No log | 7.0 | 35 | 1.8590 | 0.0002 | 0.0133 | 0.0004 | 0.0104 | |
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| No log | 8.0 | 40 | 1.7022 | 0.0002 | 0.0133 | 0.0004 | 0.0250 | |
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| No log | 9.0 | 45 | 1.5775 | 0.0004 | 0.04 | 0.0007 | 0.1004 | |
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| No log | 10.0 | 50 | 1.4837 | 0.0006 | 0.08 | 0.0011 | 0.1939 | |
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| No log | 11.0 | 55 | 1.3180 | 0.0004 | 0.0533 | 0.0008 | 0.3309 | |
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| No log | 12.0 | 60 | 1.3418 | 0.0005 | 0.0667 | 0.0011 | 0.3799 | |
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| No log | 13.0 | 65 | 1.3140 | 0.0005 | 0.0667 | 0.0010 | 0.4117 | |
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| No log | 14.0 | 70 | 1.3444 | 0.0004 | 0.0533 | 0.0008 | 0.4048 | |
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| No log | 15.0 | 75 | 1.2820 | 0.0006 | 0.08 | 0.0012 | 0.4380 | |
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### Framework versions |
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- Transformers 4.30.0 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.13.3 |
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