---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-distilled-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-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: 0.0365
- Accuracy: 0.9352

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.8234        | 1.0   | 318  | 0.4209          | 0.6758   |
| 0.3141        | 2.0   | 636  | 0.1440          | 0.8481   |
| 0.1458        | 3.0   | 954  | 0.0764          | 0.9065   |
| 0.0938        | 4.0   | 1272 | 0.0551          | 0.9190   |
| 0.0737        | 5.0   | 1590 | 0.0470          | 0.9277   |
| 0.0639        | 6.0   | 1908 | 0.0423          | 0.9303   |
| 0.0581        | 7.0   | 2226 | 0.0400          | 0.9352   |
| 0.0548        | 8.0   | 2544 | 0.0379          | 0.9358   |
| 0.0521        | 9.0   | 2862 | 0.0367          | 0.9358   |
| 0.0509        | 10.0  | 3180 | 0.0365          | 0.9352   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.1+cpu
- Datasets 2.19.1
- Tokenizers 0.19.1