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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: bert-finetuned-sla
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. -->
# bert-finetuned-sla
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2965
- F1: 0.7121
- Roc Auc: 0.8162
- Accuracy: 0.5098
## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log | 1.0 | 30 | 0.5013 | 0.1842 | 0.5497 | 0.0784 |
| No log | 2.0 | 60 | 0.4369 | 0.15 | 0.5337 | 0.0784 |
| No log | 3.0 | 90 | 0.3724 | 0.5794 | 0.7141 | 0.4118 |
| No log | 4.0 | 120 | 0.3463 | 0.6560 | 0.7738 | 0.4314 |
| No log | 5.0 | 150 | 0.3212 | 0.6452 | 0.7664 | 0.4314 |
| No log | 6.0 | 180 | 0.3092 | 0.6190 | 0.7539 | 0.4510 |
| No log | 7.0 | 210 | 0.3096 | 0.6772 | 0.7885 | 0.4902 |
| No log | 8.0 | 240 | 0.3025 | 0.6870 | 0.7997 | 0.4706 |
| No log | 9.0 | 270 | 0.3118 | 0.6875 | 0.7958 | 0.4902 |
| No log | 10.0 | 300 | 0.2965 | 0.7121 | 0.8162 | 0.5098 |
| No log | 11.0 | 330 | 0.2971 | 0.7023 | 0.8088 | 0.4902 |
| No log | 12.0 | 360 | 0.3071 | 0.6866 | 0.8036 | 0.4510 |
| No log | 13.0 | 390 | 0.3015 | 0.6718 | 0.7907 | 0.4510 |
| No log | 14.0 | 420 | 0.3087 | 0.6718 | 0.7907 | 0.4314 |
| No log | 15.0 | 450 | 0.2978 | 0.6970 | 0.8071 | 0.4706 |
| No log | 16.0 | 480 | 0.3058 | 0.6718 | 0.7907 | 0.4510 |
| 0.219 | 17.0 | 510 | 0.3039 | 0.6769 | 0.7924 | 0.4510 |
| 0.219 | 18.0 | 540 | 0.3015 | 0.6870 | 0.7997 | 0.4706 |
| 0.219 | 19.0 | 570 | 0.3011 | 0.6870 | 0.7997 | 0.4706 |
| 0.219 | 20.0 | 600 | 0.3014 | 0.6870 | 0.7997 | 0.4706 |
### Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
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