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# bert-base-uncased-finetuned-WOCP-20240108

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3798
- Accuracy: 0.9034
- F1: 0.9034

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 3117 | 0.3642          | 0.8787   | 0.8787 |
| No log        | 2.0   | 6234 | 0.3346          | 0.8927   | 0.8926 |
| No log        | 3.0   | 9351 | 0.3798          | 0.9034   | 0.9034 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-base-uncased-finetuned-WOCP-20240108", "results": []}]}
transformers safetensors bert next-sentence-prediction generated_from_trainer base_model:bert-base-uncased license:apache-2.0 endpoints_compatible region:us