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library_name: transformers
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert_base_cased
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_base_cased
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5496
- Accuracy: 0.8505
- F1: 0.8971
## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| 0.6112 | 0.2174 | 50 | 0.6030 | 0.7328 | 0.8078 |
| 0.525 | 0.4348 | 100 | 0.4881 | 0.7525 | 0.8399 |
| 0.5386 | 0.6522 | 150 | 0.5263 | 0.7794 | 0.8544 |
| 0.4511 | 0.8696 | 200 | 0.5176 | 0.8137 | 0.875 |
| 0.2806 | 1.0870 | 250 | 0.4302 | 0.8088 | 0.8660 |
| 0.3622 | 1.3043 | 300 | 0.4826 | 0.8309 | 0.8816 |
| 0.2892 | 1.5217 | 350 | 0.3882 | 0.8358 | 0.8793 |
| 0.2732 | 1.7391 | 400 | 0.4186 | 0.8309 | 0.8856 |
| 0.3847 | 1.9565 | 450 | 0.3501 | 0.8431 | 0.8865 |
| 0.1997 | 2.1739 | 500 | 0.5521 | 0.8627 | 0.9060 |
| 0.162 | 2.3913 | 550 | 0.6342 | 0.8407 | 0.8926 |
| 0.1125 | 2.6087 | 600 | 0.5181 | 0.8578 | 0.9020 |
| 0.1388 | 2.8261 | 650 | 0.5496 | 0.8505 | 0.8971 |
### Framework versions
- Transformers 4.57.6
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
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