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# semantic-bert-balanced-dataset

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1862
- Accuracy: 0.5448

## 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: 16
- eval_batch_size: 16
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 160  | 0.8837          | 0.5746   |
| No log        | 2.0   | 320  | 0.9415          | 0.5490   |
| No log        | 3.0   | 480  | 1.0334          | 0.5669   |
| 0.7136        | 4.0   | 640  | 1.1917          | 0.5661   |
| 0.7136        | 5.0   | 800  | 1.3571          | 0.5780   |
| 0.7136        | 6.0   | 960  | 1.6461          | 0.5772   |
| 0.2277        | 7.0   | 1120 | 2.1103          | 0.5533   |
| 0.2277        | 8.0   | 1280 | 2.3829          | 0.5584   |
| 0.2277        | 9.0   | 1440 | 2.4821          | 0.5618   |
| 0.0617        | 10.0  | 1600 | 2.7549          | 0.5371   |
| 0.0617        | 11.0  | 1760 | 2.8267          | 0.5499   |
| 0.0617        | 12.0  | 1920 | 2.9028          | 0.5490   |
| 0.0242        | 13.0  | 2080 | 2.9845          | 0.5465   |
| 0.0242        | 14.0  | 2240 | 3.0126          | 0.5541   |
| 0.0242        | 15.0  | 2400 | 3.0791          | 0.5490   |
| 0.0086        | 16.0  | 2560 | 3.0980          | 0.5499   |
| 0.0086        | 17.0  | 2720 | 3.1564          | 0.5456   |
| 0.0086        | 18.0  | 2880 | 3.1723          | 0.5499   |
| 0.0048        | 19.0  | 3040 | 3.1791          | 0.5473   |
| 0.0048        | 20.0  | 3200 | 3.1862          | 0.5448   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.3.0.dev20231224
- Datasets 2.16.0
- Tokenizers 0.15.0

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