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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: distilbert-base-uncased-distilled-clinc
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# distilbert-base-uncased-distilled-clinc
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2342
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- Accuracy: 0.9490
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 48
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- eval_batch_size: 48
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 318 | 1.7009 | 0.7571 |
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| 2.019 | 2.0 | 636 | 0.8874 | 0.8723 |
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| 2.019 | 3.0 | 954 | 0.5096 | 0.9210 |
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| 0.7915 | 4.0 | 1272 | 0.3532 | 0.9371 |
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| 0.3568 | 5.0 | 1590 | 0.2885 | 0.9442 |
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| 0.3568 | 6.0 | 1908 | 0.2602 | 0.9474 |
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| 0.228 | 7.0 | 2226 | 0.2452 | 0.9487 |
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| 0.1842 | 8.0 | 2544 | 0.2389 | 0.9484 |
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| 0.1842 | 9.0 | 2862 | 0.2361 | 0.9484 |
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| 0.1694 | 10.0 | 3180 | 0.2342 | 0.9490 |
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### Framework versions
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- Transformers 4.16.2
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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