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tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: training_outputs
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# training_outputs
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0394
- Accuracy: 0.993
- Precision: 0.9913
- Recall: 0.9884
- F1: 0.9899
- Roc Auc: 0.9988
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Roc Auc |
|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
| 0.045 | 0.1105 | 1000 | 0.0609 | 0.987 | 0.9798 | 0.9827 | 0.9812 | 0.9990 |
| 0.0539 | 0.2210 | 2000 | 0.0471 | 0.988 | 0.9883 | 0.9769 | 0.9826 | 0.9985 |
| 0.0467 | 0.3316 | 3000 | 0.0546 | 0.989 | 0.9855 | 0.9827 | 0.9841 | 0.9989 |
| 0.0439 | 0.4421 | 4000 | 0.0416 | 0.99 | 0.9884 | 0.9827 | 0.9855 | 0.9990 |
| 0.0419 | 0.5526 | 5000 | 0.0470 | 0.99 | 0.9855 | 0.9855 | 0.9855 | 0.9991 |
| 0.0395 | 0.6631 | 6000 | 0.0396 | 0.992 | 0.9884 | 0.9884 | 0.9884 | 0.9970 |
| 0.0329 | 0.7737 | 7000 | 0.0427 | 0.993 | 0.9885 | 0.9913 | 0.9899 | 0.9986 |
| 0.0373 | 0.8842 | 8000 | 0.0408 | 0.992 | 0.9884 | 0.9884 | 0.9884 | 0.9988 |
| 0.031 | 0.9947 | 9000 | 0.0394 | 0.993 | 0.9913 | 0.9884 | 0.9899 | 0.9988 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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