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# bert-base-uncased-finetuned-clinc_oos

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the clinc_oos dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7744
- Accuracy: {'accuracy': 0.932258064516129}
- F1: {'f1': 0.9301680056033511}

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy                         | F1                         |
|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|:--------------------------:|
| 4.2947        | 1.0   | 954  | 2.1707          | {'accuracy': 0.8312903225806452} | {'f1': 0.8144079203282508} |
| 1.7379        | 2.0   | 1908 | 1.0298          | {'accuracy': 0.9209677419354839} | {'f1': 0.9177062984730477} |
| 0.8752        | 3.0   | 2862 | 0.7744          | {'accuracy': 0.932258064516129}  | {'f1': 0.9301680056033511} |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["clinc_oos"], "metrics": ["accuracy", "f1"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-base-uncased-finetuned-clinc_oos", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "clinc_oos", "type": "clinc_oos", "config": "plus", "split": "validation", "args": "plus"}, "metrics": [{"type": "accuracy", "value": {"accuracy": 0.932258064516129}, "name": "Accuracy"}, {"type": "f1", "value": {"f1": 0.9301680056033511}, "name": "F1"}]}]}]}
transformers pytorch bert text-classification generated_from_trainer dataset:clinc_oos base_model:bert-base-uncased license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us