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# distilbert-base-uncased-distilled-clinc

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0400
- Accuracy: 0.9339

## 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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.8329        | 1.0   | 318  | 0.4352          | 0.6555   |
| 0.3266        | 2.0   | 636  | 0.1545          | 0.8452   |
| 0.1522        | 3.0   | 954  | 0.0813          | 0.9035   |
| 0.0981        | 4.0   | 1272 | 0.0602          | 0.9158   |
| 0.0772        | 5.0   | 1590 | 0.0511          | 0.9216   |
| 0.067         | 6.0   | 1908 | 0.0461          | 0.9265   |
| 0.0611        | 7.0   | 2226 | 0.0433          | 0.9287   |
| 0.0574        | 8.0   | 2544 | 0.0417          | 0.9329   |
| 0.0552        | 9.0   | 2862 | 0.0404          | 0.9323   |
| 0.0536        | 10.0  | 3180 | 0.0400          | 0.9339   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["clinc_oos"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-distilled-clinc", "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": 0.9338709677419355, "name": "Accuracy"}]}]}]}
transformers safetensors distilbert text-classification generated_from_trainer dataset:clinc_oos base_model:distilbert-base-uncased license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us