---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-distilled-clinc-final
  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-final

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: 0.3269
- Accuracy: 0.9474

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 477  | 2.1871          | 0.7771   |
| 3.1854        | 2.0   | 954  | 0.9353          | 0.8881   |
| 1.4548        | 3.0   | 1431 | 0.5229          | 0.9245   |
| 0.6199        | 4.0   | 1908 | 0.4025          | 0.9390   |
| 0.3441        | 5.0   | 2385 | 0.3573          | 0.9439   |
| 0.2432        | 6.0   | 2862 | 0.3408          | 0.9445   |
| 0.202         | 7.0   | 3339 | 0.3315          | 0.9465   |
| 0.1769        | 8.0   | 3816 | 0.3310          | 0.9461   |
| 0.1681        | 9.0   | 4293 | 0.3295          | 0.9448   |
| 0.1612        | 10.0  | 4770 | 0.3269          | 0.9474   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1