---
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: 0.0413
- Accuracy: 0.9310

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.8388        | 1.0   | 318  | 0.4365          | 0.6771   |
| 0.3297        | 2.0   | 636  | 0.1574          | 0.8432   |
| 0.1547        | 3.0   | 954  | 0.0832          | 0.9058   |
| 0.0997        | 4.0   | 1272 | 0.0614          | 0.9194   |
| 0.0788        | 5.0   | 1590 | 0.0525          | 0.9258   |
| 0.0686        | 6.0   | 1908 | 0.0474          | 0.9316   |
| 0.0624        | 7.0   | 2226 | 0.0447          | 0.9284   |
| 0.0585        | 8.0   | 2544 | 0.0428          | 0.9303   |
| 0.0563        | 9.0   | 2862 | 0.0415          | 0.9316   |
| 0.055         | 10.0  | 3180 | 0.0413          | 0.9310   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0