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---
license: apache-2.0
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: 0.2342
- Accuracy: 0.9490
## 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 | 1.7009 | 0.7571 |
| 2.019 | 2.0 | 636 | 0.8874 | 0.8723 |
| 2.019 | 3.0 | 954 | 0.5096 | 0.9210 |
| 0.7915 | 4.0 | 1272 | 0.3532 | 0.9371 |
| 0.3568 | 5.0 | 1590 | 0.2885 | 0.9442 |
| 0.3568 | 6.0 | 1908 | 0.2602 | 0.9474 |
| 0.228 | 7.0 | 2226 | 0.2452 | 0.9487 |
| 0.1842 | 8.0 | 2544 | 0.2389 | 0.9484 |
| 0.1842 | 9.0 | 2862 | 0.2361 | 0.9484 |
| 0.1694 | 10.0 | 3180 | 0.2342 | 0.9490 |
### Framework versions
- Transformers 4.16.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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