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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: 0.2335
- Accuracy: 0.9455
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.9493 | 1.0 | 318 | 1.3466 | 0.7329 |
| 1.0424 | 2.0 | 636 | 0.6702 | 0.8694 |
| 0.5509 | 3.0 | 954 | 0.3936 | 0.9155 |
| 0.3428 | 4.0 | 1272 | 0.2964 | 0.9355 |
| 0.2604 | 5.0 | 1590 | 0.2623 | 0.9387 |
| 0.2261 | 6.0 | 1908 | 0.2494 | 0.9423 |
| 0.2097 | 7.0 | 2226 | 0.2412 | 0.9439 |
| 0.2006 | 8.0 | 2544 | 0.2369 | 0.9445 |
| 0.1955 | 9.0 | 2862 | 0.2338 | 0.9442 |
| 0.1929 | 10.0 | 3180 | 0.2335 | 0.9455 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1