---
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
  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: 0.2691
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 318  | 1.5992          | 0.7345   |
| 1.9427        | 2.0   | 636  | 0.8091          | 0.8684   |
| 1.9427        | 3.0   | 954  | 0.4730          | 0.9148   |
| 0.7363        | 4.0   | 1272 | 0.3512          | 0.9335   |
| 0.3518        | 5.0   | 1590 | 0.3056          | 0.9403   |
| 0.3518        | 6.0   | 1908 | 0.2886          | 0.9435   |
| 0.2547        | 7.0   | 2226 | 0.2780          | 0.9452   |
| 0.2245        | 8.0   | 2544 | 0.2729          | 0.9465   |
| 0.2245        | 9.0   | 2862 | 0.2696          | 0.9468   |
| 0.2137        | 10.0  | 3180 | 0.2691          | 0.9461   |


### Framework versions

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