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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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1977
- Accuracy: 0.9461

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.9871        | 1.0   | 318  | 1.4311          | 0.7381   |
| 1.1128        | 2.0   | 636  | 0.7515          | 0.8687   |
| 0.6047        | 3.0   | 954  | 0.4328          | 0.9213   |
| 0.3629        | 4.0   | 1272 | 0.2998          | 0.9358   |
| 0.2498        | 5.0   | 1590 | 0.2453          | 0.94     |
| 0.1978        | 6.0   | 1908 | 0.2204          | 0.9448   |
| 0.1725        | 7.0   | 2226 | 0.2104          | 0.9452   |
| 0.1581        | 8.0   | 2544 | 0.2016          | 0.9461   |
| 0.1501        | 9.0   | 2862 | 0.1989          | 0.9458   |
| 0.1456        | 10.0  | 3180 | 0.1977          | 0.9461   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

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