pytorch distilbert generated_from_trainer dataset:clinc_oos license:apache-2.0 model-index region:us
---
datasets:
- clinc_oos
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-distilled-clinc
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: clinc_oos
      type: clinc_oos
      args: plus
    metrics:
    - type: accuracy
      value: 0.9548387096774194
      name: Accuracy
---

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# distilbert-base-uncased-distilled-clinc

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1973
- Accuracy: 0.9548

## 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: 0.00012147805536176188
- train_batch_size: 32
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5391        | 1.0   | 477  | 0.3345          | 0.9265   |
| 0.1734        | 2.0   | 954  | 0.2393          | 0.9403   |
| 0.109         | 3.0   | 1431 | 0.2211          | 0.9458   |
| 0.0812        | 4.0   | 1908 | 0.2037          | 0.9532   |
| 0.0717        | 5.0   | 2385 | 0.2004          | 0.9545   |
| 0.067         | 6.0   | 2862 | 0.1978          | 0.9555   |
| 0.0662        | 7.0   | 3339 | 0.1986          | 0.9548   |
| 0.0635        | 8.0   | 3816 | 0.1973          | 0.9548   |


### Framework versions

- Transformers 4.16.2
- Pytorch 2.4.1+cu121
- Datasets 1.16.1
- Tokenizers 0.19.1
