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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: fine-tune-vanilla-bert-base-uncased-ch9
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. -->
# fine-tune-vanilla-bert-base-uncased-ch9
This model is a fine-tuned version of [omersubasi/bert-base-uncased-issues-128](https://huggingface.co/omersubasi/bert-base-uncased-issues-128) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1664
- Micro f1: 0.7308
- Macro f1: 0.6418
## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.3943 | 1.0 | 56 | 0.3426 | 0.0 | 0.0 |
| 0.3165 | 2.0 | 112 | 0.3111 | 0.2857 | 0.1010 |
| 0.2701 | 3.0 | 168 | 0.2531 | 0.5 | 0.2266 |
| 0.2019 | 4.0 | 224 | 0.2155 | 0.6196 | 0.3375 |
| 0.1544 | 5.0 | 280 | 0.2094 | 0.6064 | 0.4363 |
| 0.1135 | 6.0 | 336 | 0.1829 | 0.7030 | 0.5914 |
| 0.0823 | 7.0 | 392 | 0.1774 | 0.6970 | 0.5956 |
| 0.0619 | 8.0 | 448 | 0.1781 | 0.6965 | 0.6130 |
| 0.0491 | 9.0 | 504 | 0.1695 | 0.7327 | 0.6402 |
| 0.0419 | 10.0 | 560 | 0.1664 | 0.7308 | 0.6418 |
### Framework versions
- Transformers 4.16.2
- Pytorch 2.1.0+cu118
- Datasets 1.16.1
- Tokenizers 0.15.0
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