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--- |
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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: logs |
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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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# logs |
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- Loss: 0.0008 |
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- Precision: 0.9900 |
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- Recall: 0.995 |
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- F1: 0.9925 |
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- Accuracy: 0.9999 |
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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: 8 |
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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 | 44 | 0.0039 | 0.9701 | 0.975 | 0.9726 | 0.9991 | |
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| No log | 2.0 | 88 | 0.0018 | 0.8744 | 0.94 | 0.9060 | 0.9995 | |
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| No log | 3.0 | 132 | 0.0011 | 0.9559 | 0.975 | 0.9653 | 0.9998 | |
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| No log | 4.0 | 176 | 0.0008 | 0.9900 | 0.995 | 0.9925 | 0.9999 | |
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| No log | 5.0 | 220 | 0.0007 | 0.9803 | 0.995 | 0.9876 | 0.9999 | |
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| No log | 6.0 | 264 | 0.0007 | 0.9851 | 0.995 | 0.9900 | 0.9999 | |
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| No log | 7.0 | 308 | 0.0007 | 0.9900 | 0.995 | 0.9925 | 0.9999 | |
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| No log | 8.0 | 352 | 0.0007 | 0.9803 | 0.995 | 0.9876 | 0.9999 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.0.1 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
