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# test-trainer2

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: 0.0000
- Accuracy: 1.0

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0005        | 0.19  | 10   | 0.0002          | 1.0      |
| 0.0002        | 0.38  | 20   | 0.0001          | 1.0      |
| 0.0001        | 0.57  | 30   | 0.0001          | 1.0      |
| 0.0001        | 0.75  | 40   | 0.0001          | 1.0      |
| 0.0001        | 0.94  | 50   | 0.0000          | 1.0      |
| 0.0001        | 1.13  | 60   | 0.0000          | 1.0      |
| 0.0001        | 1.32  | 70   | 0.0000          | 1.0      |
| 0.0           | 1.51  | 80   | 0.0000          | 1.0      |
| 0.0           | 1.7   | 90   | 0.0000          | 1.0      |
| 0.0           | 1.89  | 100  | 0.0000          | 1.0      |
| 0.0           | 2.08  | 110  | 0.0000          | 1.0      |
| 0.0           | 2.26  | 120  | 0.0000          | 1.0      |
| 0.0           | 2.45  | 130  | 0.0000          | 1.0      |
| 0.0           | 2.64  | 140  | 0.0000          | 1.0      |
| 0.0           | 2.83  | 150  | 0.0000          | 1.0      |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "test-trainer2", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us