---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-ft-clinc
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/liu_guojing-Ocean%20University%20of%20China/huggingface/runs/kv9k7ywo)
# distilbert-base-uncased-ft-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: 0.5254
- Accuracy: 0.8310

## 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: 0.0003
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.6686        | 1.0   | 239  | 2.0599          | 0.1635   |
| 1.6511        | 2.0   | 478  | 1.2657          | 0.4545   |
| 0.9693        | 3.0   | 717  | 0.8114          | 0.6571   |
| 0.6077        | 4.0   | 956  | 0.5993          | 0.7810   |
| 0.4334        | 5.0   | 1195 | 0.5254          | 0.8310   |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.0.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1