---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# distilbert-base-uncased-finetuned-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: nan
- Accuracy: 0.9410

## 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: 192
- eval_batch_size: 192
- 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   | 80   | nan             | 0.4606   |
| No log        | 2.0   | 160  | nan             | 0.7219   |
| No log        | 3.0   | 240  | nan             | 0.8071   |
| No log        | 4.0   | 320  | nan             | 0.8626   |
| No log        | 5.0   | 400  | nan             | 0.8858   |
| No log        | 6.0   | 480  | nan             | 0.9103   |
| 0.0           | 7.0   | 560  | nan             | 0.9216   |
| 0.0           | 8.0   | 640  | nan             | 0.9268   |
| 0.0           | 9.0   | 720  | nan             | 0.9294   |
| 0.0           | 10.0  | 800  | nan             | 0.9345   |
| 0.0           | 11.0  | 880  | nan             | 0.9345   |
| 0.0           | 12.0  | 960  | nan             | 0.9387   |
| 0.0           | 13.0  | 1040 | nan             | 0.9390   |
| 0.0           | 14.0  | 1120 | nan             | 0.9403   |
| 0.0           | 15.0  | 1200 | nan             | 0.9419   |
| 0.0           | 16.0  | 1280 | nan             | 0.9406   |
| 0.0           | 17.0  | 1360 | nan             | 0.94     |
| 0.0           | 18.0  | 1440 | nan             | 0.9403   |
| 0.0           | 19.0  | 1520 | nan             | 0.9413   |
| 0.0           | 20.0  | 1600 | nan             | 0.9410   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2