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---

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: 0.3278
- Accuracy: 0.9442

## 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  | 2.1314          | 0.7252   |
| 2.5253        | 2.0   | 636  | 1.0947          | 0.8629   |
| 2.5253        | 3.0   | 954  | 0.6238          | 0.9084   |
| 0.9778        | 4.0   | 1272 | 0.4469          | 0.9316   |
| 0.4387        | 5.0   | 1590 | 0.3821          | 0.9384   |
| 0.4387        | 6.0   | 1908 | 0.3579          | 0.9397   |
| 0.2967        | 7.0   | 2226 | 0.3403          | 0.9455   |
| 0.2494        | 8.0   | 2544 | 0.3357          | 0.9439   |
| 0.2494        | 9.0   | 2862 | 0.3304          | 0.9429   |
| 0.2328        | 10.0  | 3180 | 0.3278          | 0.9442   |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.2.2
- Datasets 2.20.0
- Tokenizers 0.19.1