---
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: 0.2335
- Accuracy: 0.9455

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.9493        | 1.0   | 318  | 1.3466          | 0.7329   |
| 1.0424        | 2.0   | 636  | 0.6702          | 0.8694   |
| 0.5509        | 3.0   | 954  | 0.3936          | 0.9155   |
| 0.3428        | 4.0   | 1272 | 0.2964          | 0.9355   |
| 0.2604        | 5.0   | 1590 | 0.2623          | 0.9387   |
| 0.2261        | 6.0   | 1908 | 0.2494          | 0.9423   |
| 0.2097        | 7.0   | 2226 | 0.2412          | 0.9439   |
| 0.2006        | 8.0   | 2544 | 0.2369          | 0.9445   |
| 0.1955        | 9.0   | 2862 | 0.2338          | 0.9442   |
| 0.1929        | 10.0  | 3180 | 0.2335          | 0.9455   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1